AU2021104502A4 - Intelligent tracking system for fungus disease detection with a deep learning approach - Google Patents

Abstract

INTELLIGENT TRACKING SYSTEM FOR FUNGUS DISEASE DETECTION WITH A DEEP LEARNING APPROACH ABSTRACT The present invention is related to Intelligent tracking system for fungus disease detection with a deep learning approach. The objective of present invention is to solve the abnormalities presented in the prior art techniques related to diagnose of Mucormycosis or black fungus disease. 28 DRAWINGS Biomedical parameter interface tool DEEP LEARNING APPROACH Remote Server Center server FIGURE 1 29

Description

DRAWINGS

Biomedical parameter interface tool DEEP LEARNING APPROACH

Remote Server Center server

FIGURE 1

INTELLIGENT TRACKING SYSTEM FOR FUNGUS DISEASE DETECTION WITH A DEEP LEARNING APPROACH FIELD OF INVENTION

[001]. The present invention relates to the technical field of biomedical

diagnostic device.

[002]. The present invention relates to the field of human disease

detection using machine learning approach.

[003]. Particularly, the present invention relates to the field of

detection of Mucormycosis diseases.

[004]. More particularly, the present invention is related to Intelligent

tracking system for fungus disease detection with a deep

learning approach.

BACKGROUND & PRIOR ART

[005]. The subject matter discussed in the background section should

not be assumed to be prior art merely as a result of its mention in the

background section. Similarly, a problem mentioned in the

background section or associated with the subject matter of the

background section should not be assumed to have been previously

recognized in the prior art. The subject matter in the background

section merely represents different approaches, which in-and-of

themselves may also be inventions.

[006]. Preliminary diagnosis of fungal infections can rely on

microscopic examination. However, in many cases, it does not allow

unambiguous identification of the species due to their visual

similarity. Therefore, it is usually necessary to use additional

biochemical tests. That involves additional costs and extends the

identification process up to 10 days. Such a delay in the

implementation of targeted therapy may be grave in consequence as

the mortality rate for immunosuppressed patients is high. In this

paper, we apply a machine learning approach based on deep neural

networks and bag-of-words to classify microscopic images of

various fungi species.

[007]. Yeast and yeast-like fungi are a component of natural human

microbiota. However, as opportunistic pathogens, they can cause

surface and systemic infections. The leading causes of the fungal

infections are impaired function of the immune system and

imbalanced microbiota composition in the human body. Other

factors of fungal infections include steroid treatment, invasive

medical procedures, and long-term antibiotic treatment with a broad

spectrum of antimicrobial agents...

[008]. Some of the work listed herewith:

[009]. 206538433NOVEL CLINICAL MEDICAL DETECTION FUNGUS

CROWD DEVICECN - 03.10.20171nt.Class C12M 1/36Appl.No

201720237855.5Applicant XIE NANZIInventor XIE NANZIThe utility

model provides a novel clinical medical detection fungus crowd device,

including the device body, jet -propelled pipe, the upper cover, the input is

fought, the sparge pipe, the fungus crowd detects the chamber, the fungus

crowd detects the chip, the feed pipe, supply the liquid solenoid valve, the

device comprises a device body,

[0010]. the washing liquid bath, an upper cover, waste liquid collecting

barrel, the controller, compressed gas cylinder, air supply

electromagnetic valve, operation display and air supply pipe, the

input is fought and is set up on device body upper portion, the upper

cover sets up on input fill upper portion, the upper cover is provided

with the upper cover motor,

[0011]. the fungus crowd detects the chamber and sets up and inside

and lie in under the input fights at the device body, the fungus crowd

detects the chip setting and detects the chamber lower part the

fungus crowd, a controller, this novel clinical medical detection

fungus crowd device simple structure,

[0012]. operation convenient to use has alleviateed the medical staffs

work degree of difficulty, has improved clinical medical detection

fungus crowd work efficiency, provides better guarantee for clinical

timely diagnosis patient symptom.

[0013]. 107345237KIT FOR DETECTING COMMON PATHOGENIC

FUNGUS INFECTIONCN - 14.11.2017nt.Class C12Q 1/68Appl.No

201610292208.4Applicant HUAQIAO UNIVERSITYInventor ANG

MINGXIThe invention discloses a kit for detecting common

pathogenic fungus infection. The kit comprises one group of

detection primers, double distilled water, a 2x PCR master mix and a

positive control genome DNA (Deoxyribonucleic Acid), wherein the

one group of detection primers is used for carrying out PCR

(Polymerase Chain Reaction) amplification. According to the kit, a

simple, quick and accurate method for diagnosing the genus and the

species of a pathogenic fungus causing fungal infection by applying

18S rRNA (ribosomal Ribonucleic Acid) sequencing is established;

the application of a clinical antibiotic is more accurately guided; the

prognosis of a patient suffered from the fungal infection is improved;

the common pathogenic fungus causing the fungal infection can be

quickly diagnosed; the possibility is provided for the quick diagnosis

on such a pathogenic bacterium from which a patient is suffered; the

decrement of the fatality rate and the disability rate of the infection is

facilitated.

[0014]. 101339130EDIBLE FUNGUS FLUORESCENT WHITENING

AGENT DETECTORCN - 07.01.20091nt.Class GOIN

21/64Appl.No 200810107169.lApplicant Anhui Aosai Precision

strument Co., Ltd.Inventor Bian HongzhengThe invention relates to

a fluorescent brightener detector of edible fungus, which comprises a

shell. The upper end in the shell is provided with a digital camera

which is used for taking photos and sampling; the top in the shell is

provided with an ultraviolet tube which is used for irradiating the

sample to be tested and driving the edible fungus with the

fluorescent brightener to emit light. A power supply which is used

for supplying power is also arranged in the detector. The detector

can be conveniently carried by a detecting person, and can freely

detect whether the edible fungus is bleached by the fluorescent

brightener; the detection results can be acquired on site; the detection

procedures are simplified, saving time and labor.

[0015]. WO/2017/197386VOLATILE METABOLITE PROFILES FOR

THE DIAGNOSIS AND TREATMENT OF MUCORALES FUNGI

WO - 16.11.20171nt.Class A61P 31/10Appl.No

PCT/US2017/032651 Applicant THE BRIGHAM AND WOMEN'S

HOSPITAL, INC. Inventor KOO, Sophia

[0016]. Methods for diagnosing, treating, and monitoring the treatment

of mucormycosis are described. The methods can include detecting

the presence of one or more volatile organic compounds (VOCs) in

the breath of subjects suspected of having mucormycosis.

[0017]. 3454944VOLATILE METABOLITE PROFILES FOR THE

DIAGNOSIS AND TREATMENT OF MUCORALES FUNGI EP

20.03.2019Int.Class A61P 31/10 Appl.No 17797020 Applicant

BRIGHAM & WOMENS HOSPITAL INC Inventor KOO

SOPHIA Methods for diagnosing, treating, and monitoring the

treatment of mucormycosis are described. The methods can include

detecting the presence of one or more volatile organic compounds

(VOCs) in the breath of subjects suspected of having mucormycosis.

[0018]. 2018084500TOOL AND METHOD FOR DIAGNOSING AND

TESTING FOR MUCORMYCOSIS JP - 31.05.2018 Int.Class

GOIN 33/53Appl.No 2016227864Applicant OSAKA CITY

UNIVInventor AKEYA HIROSHIPROBLEM TO BE SOLVED: To

identify mucormycosis markers and develop a tool nd method for

quickly diagnosing and testing for mucormycosis.

[0019]. SOLUTION: The present invention provides a method of

acquiring mucormycosis diagnostic data, which involves measuring,

in a biological sample of a subject; (i) a protein consisting of an

amino acid sequence of the sequence number 2, (ii) a Rhizopus

fungus-derived protein consisting of an amino acid sequence of the

sequence number 2 with one or more substituted, added, inserted,

and/or lost amino acids; or (iii) a protein coded by a Rhizopus

fungus-derived nucleic acid molecule which hybridizes with a

nucleic acid molecule consisting of a base sequence of the sequence

number 1 under stringent conditions.

[0020]. .20190183887VOLATILE METABOLITE PROFILES FOR

THE DIAGNOSIS AND TREATMENT OF MUCORALES

FUNGIUS - 20.06.20191nt.Class C07K 5/06Appl.No

1630110OApplicant The Brigham nd Women's Hospital, Inc.

Inventor Sophia Koo Methods for diagnosing, treating, and

monitoring the treatment of mucormycosis are described. The

methods can include detecting the presence of one or more volatile

organic compounds (VOCs) in the breath of subjects suspected of

having mucormycosis.

[0021]. 574862COMPOSITIONS AND METHODS FOR THE

TREATMENT OF MUCORMYCOSIS AND OTHER FUNGAL

DISEASES NZ - 24.02.2012 Int.Class A61K 31/4196 Appl.No

574862 Applicant Los ngeles Biomedical Research Institute at

Harbor-UCLA Medical Center Inventor IBRAHIM, Ashraf,

[0022]. Patent 574862 Disclosed is the use of a therapeutically effective

amount of at least one iron chelating compound in manufacture of a

medicament for treating or preventing mucormycosis, wherein said

iron chelating compound is a non-siderophore or non

xenosiderophore relative to mucormycosis. Wherein said iron

chelating compound comprises deferiprone or deferasirox. The

medicament can also comprise at least one antifungal agent.

[0023]. 104872438FEED FOR TREATING MUCORMYCOSIS OF

CYCLEMYS TRIFASCIATA AND PREPARATION METHOD

OF FEED CN - 02.09.2015Int.Class A23K 1/18Appl.No

201510277907.7Applicant SHI DONGXIUInventor SHI

DONGXIUThe invention discloses a feed for treating

mucormycosis of cyclemys trifasciata and a preparation method of

the feed, and belongs to the technical field of testudinate feed

processing. The feed comprises the following raw materials:

[0024]. earthworm powder, pomacea canaliculata powder, pumpkin

powder, maize meal, salt, dimethyl-beta-propiothetin, glycine

betaine, threonine, adenine nucleotide, sodium diacetate, sodium

guanylate and traditional Chinese medicine preparation. The feed is

prepared by the steps of stoving, pulverizing, screening, mixing,

pelletizing, stoving, sterilizing and the like. The feed synthesizes

efficacies of various traditional Chinese medicines, plays the

functions of resisting bacterium, diminishing inflammation,

enhancing the immunologic function of the body, and the like, and

can effectively improve the cure rate of the mucormycosis of the

cyclemys trifasciata and reduce the death rate. The feed is reasonable

in preparation and rich in nutrition, so that the feed intake of the

cyclemys trifasciata with the mucormycosis can be increased, and

the growth rate is improved; the feed is sterilized at high temperature

and high pressure, the time is short, the effect is good, and the

retention time is long.

[0025]. 3856/MUM/2015PROCESS FOR PREPARATION OF A

SOLID ORAL PHARMACEUTICAL COMPOSITIONS COMPRISING ISAVUCONAZONIUM OR PHARMACEUTICALLY ACCEPTABLE SALT OR SOLVATE

THEREOF IN - 14.04.2017 Int.Class A61K 31/137 Appl.No

3856/MUM/2015 Applicant WOCKHARDT LIMITED nventor

Adsare, Pankaj Trimbak This invention relates to a process of

preparing a stable oral pharmaceutical compositions comprising

Isavuconazonium or pharmaceutically acceptable salt thereof. By

using such novel composition, treatment of aspergillosis,

mucormycosis and related fungal disorders is possible.

[0026]. 20140112941MAMMALIAN RECEPTORS AS TARGETS

FOR ANTIBODY AND ACTIVE VACCINATION THERAPY

AGAINST MOLD INFECTIONS US - 24.04.2014 Int.Class A61K

39/395 Appl.No 14139683 Applicant Los Angeles Biomedical

Research Institute at Harbor-UCLA Medical Center

[0027]. Inventor Ashraf S. IbrahimThe present invention provides

therapeutic compositions and methods for treating and preventing

fungal disease or conditions including mucormycosis. The

therapeutic methods and compositions of the invention include

antibody, antibody fragment, siRNA and vaccine compositions

having or directed against a GRP78 polypeptide or an antigenic

fragment of the polypeptide.

[0028]. WO/2020/006438METHODS OF TREATING OR

PREVENTING MUCORMYCOSIS WO - 02.01.2020

[0029]. Int.Class A61K 39/395 Appl.No PCT/US2019/039870

Applicant UNIVERSITY OF MARYLAND, ALTIMORE Inventor

BRUNO, Vincent The invention provides a method of treating or

preventing mucormycosis in a subject in need thereof, comprising

administering to the subject a therapeutically- effective amount of an

agent that inhibits a signaling pathway of a receptor selected from

the group consisting of epidermal growth factor receptor, platelet

derived growth factor receptor, ErbB2/Her2, progesterone receptor

and a combination thereof.

[0030]. 20160159887IMMUNOTHERAPY AND DIAGNOSIS OF

MUCORMYCOSIS USING COTH US - 09.06.2016 Int.Class

C07K 16/14 Appl.No 15043025 Applicant LOS ANGELES

BIOMEDICAL RESEARCH INSTITUTE AT HARBOR-UCLA

MEDICAL CENTER Inventor Ashraf S. IBRAHIM

[0031]. The invention provided Mucorales CotH antibodies,

polypeptides, encoding nucleic acid molecules, and uses thereof. The

Mucorales CotH antibodies, polypeptides and encoding nucleic acids

disclosed herein can be advantageously used to diagnose, treat or

prevent fungal conditions, in particular mucormycosis.

[0032]. 20110059111MAMMALIAN RECEPTORS AS TARGETS

FOR ANTIBODY AND ACTIVE VACCINATION THERAPY

AGAINST MOLD INFECTIONS US - 10.03.2011 Int.Class A61K

39/395Appl.No 12874126Applicant LOS ANGELES

BIOMEDICAL RESEARCH INSTITUTE AT HARBOR-UCLA

EDICAL CENTER Inventor IBRAHIM ASHRAF S.

[0033]. The present invention provides therapeutic compositions and

methods for treating and preventing fungal disease or conditions

including mucormycosis.

[0034]. The therapeutic methods and compositions of the invention

include antibody, antibody fragment, siRNA and vaccine

compositions having or directed against a GRP78 polypeptide or an

antigenic fragment of the polypeptide.

[0035]. 104873863CHINESE HERBA PREPARATION FOR

TREATING MUCORMYCOSIS OF CYCLEMYS TRIFASCIATA AND PREPARATION METHOD OF CHINESE HERBA

PREPARATION CN - 02.09.2015 Int.Class A61K 36/904Appl.No

201510278014.4 pplicant SHI DONGXIU Inventor SHI DONGXIU

[0036]. The invention discloses a Chinese herba preparation for treating

mucormycosis of cyclemys trifasciata and a preparation method of

the Chinese herba preparation, aims to solve the problems that the

cyclemys trifasciata is high in death rate, large in breeding risk, low

in economic benefit, and the like, due to the cyclemys trifasciata, and

belongs to the technical field of testudinate feed additive processing.

[0037]. The Chinese herba preparation comprises the following raw

materials: schisandra, scutellaria, platycodon grandiflorus, semen

arecae, giant knotweed, zanthoxylum simulans hance, folium

eriobotryae, radix bupleuri, herba houttuyniae, purple perilla, fructus

cnidii, radix stemonae, carpet bugle, cassia bark,

[0038]. cortex acanthopanacis, hydnocarpus, momordica

cochinchinensis, honeysuckle, radix glycyrrhizae and mongolian

dandelion herb. The Chinese herba preparation is prepared by the

steps of drying in the sun, pulverizing, screening, mixing, sterilizing

and the like.

[0039]. The Chinese herba preparation synthesizes efficacies of various

traditional Chinese medicines, plays the functions of resisting

bacterium, diminishing inflammation, enhancing the immunologic

function of the body, and the like, can effectively reduce the

probability of the mucormycosis of the cyclemys trifasciata, and

improves the economic benefits of a farmer. The Chinese herba

preparation is sterilized at high temperature and high pressure, the

time is short, the effect is good, and the retention time is long.

[0040]. 106070680MAKING METHOD OF YAK SKIMMED MILK

MUCORMYCOSIS SOFT CHEESE

[0041]. CN - 09.11.2016 Int.Class A23C 19/05 Appl.No

201610499206.2 Applicant QINGHAI ACADEMY F ANIMAL

SCIENCE AND VETERINARY MEDICINE Inventor YE

CHENGJIUN The invention discloses a making method of yak

skimmed milk mucormycosis soft cheese.

[0042]. The making method comprises the steps that yak milk is filtered,

antibiotic detection and pH value detection are conducted, and

centrifugal degreasing is conducted; yak skimmed milk is sterilized

and cooled down, and starter culture and mucormycosis are added

for fermentation; 0.02% of CaCl2 is added, and after 10 minutes,

0.003% of rennin is added;

[0043]. curds are cut and stirred, and small blocks of the curds of which

most whey is separated out are put into a mold for whey draining;

after the mold is turned upside down, whey draining is conducted

continuously, and the curds are cut into blocks and soaked in a

saturated salt solution; upside down turning is conducted once every

day under the conditions of the temperature of 15 DEG C and the

relative humidity of 90%, and maturation in the late stage takes

seven days. According to the making method of the yak skimmed

milk mucormycosis soft cheese, the original nutritional ingredients

of the yak milk are preserved, by means of the addition and

fermentation technology of lactic acid bacteria, the digestibility of a

human body is increased, the flavor substance of the product is

enhanced, the mouthfeel of the product is improved, and the

additional value of the product is improved..

[0044]. .Groupings of alternative elements or embodiments of the

invention disclosed herein are not to be construed as limitations.

Each group member can be referred to and claimed individually or in

any combination with other members of the group or other elements

found herein. One or more members of a group can be included in,

[0045]. or deleted from, a group for reasons of convenience and/or

patentability. When any such inclusion or deletion occurs, the

specification is herein deemed to contain the group as modified thus

fulfilling the written description of all Markus groups used in the

appended claims.

[0046]. As used in the description herein and throughout the claims that

follow, the meaning of "a," "an," and "the" includes plural reference

unless the context clearly dictates otherwise. Also, as used in the

description herein, the meaning of "in" includes "in" and "on" unless

the context clearly dictates otherwise.

[0047]. The recitation of ranges of values herein is merely intended to

serve as a shorthand method of referring individually to each separate

value falling within the range. Unless otherwise indicated herein, each

individual value is incorporated into the specification as if it were

individually recited herein. All methods described herein can be

performed in any suitable order unless otherwise indicated herein or

otherwise clearly contradicted by context.

[0048]. The use of any and all examples, or exemplary language (e.g.

"such as") provided with respect to certain embodiments herein is

intended merely to better illuminate the invention and does not pose a

limitation on the scope of the invention otherwise claimed. No

language in the specification should be construed as indicating any

non-claimed element essential to the practice of the invention.

[0049]. The above information disclosed in this Background section is

only for enhancement of understanding of the background of the

invention and therefore it may contain information that does not form

the prior art that is already known in this country to a person of

ordinary skill in the art.

SUMMARY

[0050]. The present invention mainly cures and solves the technical

problems existing in the prior art. In response to these problems, the

present invention provides Intelligent tracking system for fungus

disease detection with a deep learning approach.

[0051]. As one aspect of the present invention relates to AnIntelligent

tracking system for fungus disease detection with a deep learning

approach, wherein the system comprising: A biomedical parameter

interface tool configured to enable patient to identify and input eye

health biomedical parameters by patient by following self

examination procedure; An internal parameter detector configured

with an internet of things sensor enabled wearable jacket to monitor

eye internal parameters such as eye temperature and lumps; a center

server configured to collect said eye biomedical parameters and said

eye internal parameters, store and further process using deep learning

algorithms to compute and predict risk rate of disease; and a remote

tracker configured to track said risk rate of disease or status of the

patient eye health by different users in relation to the patient to

thereby undergo better treatment at right stage through the deep

learning algorithm result about the disease.

OBJECTIVE OF THE INVENTION

[0052]. The principle objective of the present invention is to provide

Intelligent tracking system for fungus disease detection with a deep

learning approach.

BRIEF DESCRIPTION OF DRAWINGS

[0053]. Further clarify various aspects of some example embodiments of

the present invention, a more particular description of the invention

will be rendered by reference to specific embodiments thereof which

are illustrated in the appended drawings. It is appreciated that these

drawings depict only illustrated embodiments of the invention and are

therefore not to be considered limiting of its scope. The invention will

be described and explained with additional specificity and detail

through the use of the accompanying drawings.

[0054]. In order that the advantages of the present invention will be

easily understood, a detailed description of the invention is discussed

below in conjunction with the appended drawings, which, however,

should not be considered to limit the scope of the invention to the

accompanying drawings, in which:

[0055]. Figure 1 shows an exemplary representation of Intelligent

tracking system for fungus disease detection with a deep learning

approach, according to the present invention.

DETAIL DESCRIPTION

[0056]. The present invention discloses Intelligent tracking system for

fungus disease detection with a deep learning approach.

[0057]. Figure 1 shows the exemplary representation of Intelligent

tracking system for fungus disease detection with a deep learning

approach, according to the present invention.

[0058]. Although the present disclosure has been described with the

purpose of two Intelligent tracking system for fungus disease

detection with a deep learning approach, it should be appreciated that

the same has been done merely to illustrate the invention in an

exemplary manner and to highlight any other purpose or function for

which explained structures or configurations could be used and is

covered within the scope of the present disclosure.

[0059]. The Intelligent tracking system for fungus disease detection

with a deep learning approach, wherein the system comprising A

biomedical parameter interface tool configured to enable patient to

identify and input eye health biomedical parameters by patient by

following self-examination procedure.

[0060]. An internal parameter detector is configured with an internet of

things sensor enabled wearable jacket to monitor eye internal

parameters such as eye temperature and lumps.

[0061]. A center server is configured to collect said eye biomedical

parameters and said eye internal parameters, store and further

process using deep learning algorithms to compute and predict risk

rate of disease.

[0062]. A remote tracker is configured to track said risk rate of disease

or status of the patient eye health by different users in relation to the

patient to thereby undergo better treatment at right stage through the

deep learning algorithm result about the disease

[0063]. A SVM (Support Vector Deep) algorithm, is used with a pattern

recognition algorithm, which is used to eradicate the pattern from the

biomedical parameter detection

[0064]. The Convolutional Neural Network (CNN) of the pre-classified

images is used through identify the fungus disease.

[0065]. The fungus disease in the processed image of the input CT scan

image by the Convolutional Neural Network (CNN) modules.

[0066]. The figures and the foregoing description give examples of

embodiments. Those skilled in the art will appreciate that one or

more of the described elements may well be combined into a single

functional element. Alternatively, certain elements may be split into

multiple functional elements. Elements from one embodiment may

be added to another embodiment.

[0067]. For example, order of processes described herein may be

changed and are not limited to the manner described herein.

Moreover, the actions of any block diagram need not be

implemented in the order shown; nor do all of the acts need to be

necessarily performed. Also, those acts that are not dependent on

other acts may be performed in parallel with the other acts. The

scope of embodiments is by no means limited by these specific

examples.

[0068]. Although implementations of the invention have been described

in a language specific to structural features and/or methods, it is to

be understood that the appended claims are not necessarily limited to

the specific features or methods described. Rather, the specific

features and methods are disclosed as examples of implementations

of the invention.

Claims (4)

CLAIMS I/We claim:

1. A Intelligent tracking system for fungus disease

detection with a deep learning approach, wherein the

system comprising:

A biomedical parameter interface tool configured to

enable patient to identify and input eye health

biomedical parameters by patient by following self

examination procedure;

An internal parameter detector configured with an

internet of things sensor enabled wearable jacket to

monitor eye internal parameters such as eye

temperature and lumps;

a center server configured to collect said eye

biomedical parameters and said eye internal parameters, store and further process using deep learning algorithms to compute and predict risk rate of disease; and

A remote tracker configured to track said risk rate of

disease or status of the patient eye health by different

users in relation to the patient to thereby undergo better

treatment at right stage through the deep learning

algorithm result about the disease. .

2. The Intelligent tracking system for fungus disease

detection with a deep learning approach as claimed in

claim 1, Wherein a SVM (Support Vector Deep)

algorithm, wherein the pattern recognition algorithm is

used to eradicate the pattern from the biomedical

parameter detection.

3. The Intelligent tracking system for fungus disease

detection with a deep learning approach as claimed in

claim 1, The a Convolutional Neural Network ( CNN

) of the pre-classified images is used through identify the

fungus disease.

4. The Intelligent tracking system for fungus disease

detection with a deep learning approach as claimed in

claim 1, detecting the fungus disease in the processed

image of the input CT scan image by the Convolutional

Neural Network (CNN) modules.

FIGURE 1 DRAWINGS