IT201700084813A1 - Metodo di classificazione e correlazione tra lo stato patologico della cute e la corrispondente terapia e posologia - Google Patents

Metodo di classificazione e correlazione tra lo stato patologico della cute e la corrispondente terapia e posologia

Info

Publication number
IT201700084813A1
IT201700084813A1 IT102017000084813A IT201700084813A IT201700084813A1 IT 201700084813 A1 IT201700084813 A1 IT 201700084813A1 IT 102017000084813 A IT102017000084813 A IT 102017000084813A IT 201700084813 A IT201700084813 A IT 201700084813A IT 201700084813 A1 IT201700084813 A1 IT 201700084813A1
Authority
IT
Italy
Prior art keywords
classification
dosage
correlation
skin
pathological state
Prior art date
Application number
IT102017000084813A
Other languages
English (en)
Inventor
Jacopo Secco
Marco Farina
Fernando Corinto
Danilo Demarchi
Original Assignee
Torino Politecnico
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Torino Politecnico filed Critical Torino Politecnico
Priority to IT102017000084813A priority Critical patent/IT201700084813A1/it
Priority to PCT/IB2018/054843 priority patent/WO2019021085A1/en
Priority to US16/625,534 priority patent/US11334989B2/en
Priority to EP18735414.7A priority patent/EP3646340B1/en
Priority to JP2019564470A priority patent/JP7319602B2/ja
Publication of IT201700084813A1 publication Critical patent/IT201700084813A1/it
Priority to IL271933A priority patent/IL271933A/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30088—Skin; Dermal

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Data Mining & Analysis (AREA)
  • Radiology & Medical Imaging (AREA)
  • Databases & Information Systems (AREA)
  • Biomedical Technology (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Pathology (AREA)
  • Quality & Reliability (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Medical Treatment And Welfare Office Work (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
IT102017000084813A 2017-07-25 2017-07-25 Metodo di classificazione e correlazione tra lo stato patologico della cute e la corrispondente terapia e posologia IT201700084813A1 (it)

Priority Applications (6)

Application Number Priority Date Filing Date Title
IT102017000084813A IT201700084813A1 (it) 2017-07-25 2017-07-25 Metodo di classificazione e correlazione tra lo stato patologico della cute e la corrispondente terapia e posologia
PCT/IB2018/054843 WO2019021085A1 (en) 2017-07-25 2018-06-29 METHOD FOR CLASSIFICATION AND CORRELATION BETWEEN THE PATHOLOGICAL CONDITION OF THE SKIN AND CORRESPONDING THERAPY AND DOSAGE
US16/625,534 US11334989B2 (en) 2017-07-25 2018-06-29 Method of classification and correlation between the pathologic state of the skin and the corresponding therapy and posology
EP18735414.7A EP3646340B1 (en) 2017-07-25 2018-06-29 Method of classification and correlation between the pathologic state of the skin and the corresponding therapy and posology
JP2019564470A JP7319602B2 (ja) 2017-07-25 2018-06-29 皮膚の病理学的状態と対応する治療および用量との間の分類および相関の方法
IL271933A IL271933A (en) 2017-07-25 2020-01-09 A method for classification and correlation between the pathological condition of the skin and the treatment and the theory of the dosage of the corresponding drugs

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
IT102017000084813A IT201700084813A1 (it) 2017-07-25 2017-07-25 Metodo di classificazione e correlazione tra lo stato patologico della cute e la corrispondente terapia e posologia

Publications (1)

Publication Number Publication Date
IT201700084813A1 true IT201700084813A1 (it) 2019-01-25

Family

ID=60990972

Family Applications (1)

Application Number Title Priority Date Filing Date
IT102017000084813A IT201700084813A1 (it) 2017-07-25 2017-07-25 Metodo di classificazione e correlazione tra lo stato patologico della cute e la corrispondente terapia e posologia

Country Status (6)

Country Link
US (1) US11334989B2 (it)
EP (1) EP3646340B1 (it)
JP (1) JP7319602B2 (it)
IL (1) IL271933A (it)
IT (1) IT201700084813A1 (it)
WO (1) WO2019021085A1 (it)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116580855B (zh) * 2023-05-22 2023-11-03 武汉市第三医院 放射性皮肤溃疡严重程度评估量表的信度检测方法及系统

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160284084A1 (en) * 2015-03-23 2016-09-29 Ohio State Innovation Foundation System and method for segmentation and automated measurement of chronic wound images

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US20160210422A9 (en) 2008-02-21 2016-07-21 Global Health Products, Inc. System and methods of obtaining reimbursements for patient treatment
US20100241447A1 (en) 2008-04-25 2010-09-23 Polyremedy, Inc. Customization of wound dressing using rule-based algorithm
JP2013012025A (ja) * 2011-06-29 2013-01-17 Fujifilm Corp 診療支援システムおよび方法、並びに、プログラム
US8793245B2 (en) * 2011-09-22 2014-07-29 Patrick Kwete Personalized medical treatment provision software
JP5846925B2 (ja) * 2012-01-18 2016-01-20 株式会社日立メディコ 医用画像表示装置
WO2015150852A1 (en) 2014-04-02 2015-10-08 Laboratoires Urgo Automatic determination of appropriate medical products according to wound classification
JP6367092B2 (ja) * 2014-11-18 2018-08-01 富士フイルム株式会社 情報収集装置、情報収集装置の作動方法および作動プログラム、並びに情報収集システム
JP6408436B2 (ja) * 2015-07-29 2018-10-17 富士フイルム株式会社 診療支援装置とその作動方法および作動プログラム、並びに診療支援システム
ITUB20159560A1 (it) * 2015-12-23 2017-06-23 Torino Politecnico Dispositivo e procedimento di acquisizione di immagini mediche per l?analisi di ulcere

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160284084A1 (en) * 2015-03-23 2016-09-29 Ohio State Innovation Foundation System and method for segmentation and automated measurement of chronic wound images

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
J. SPAHN: "The Science of Pressure Ulcer Development, Prevention and Treatment with a View of New Approaches to Predict and Model", 1 January 2015 (2015-01-01), pages 1 - 29, XP055474187, Retrieved from the Internet <URL:http://www.woundvision.com/wp-content/uploads/2015/02/The-Science-of-Pressure-Ulcer-Development-Prevention-and-Treatment-with-a-View-of-New-Approaches-to-Predict-and-Model.pdf> [retrieved on 20180508], DOI: 10.1109/TCST.2012.2228861 *
MANU GOYAL ET AL: "DFUNet: Convolutional Neural Networks for Diabetic Foot Ulcer Classification", 28 November 2017 (2017-11-28), XP055474122, Retrieved from the Internet <URL:https://arxiv.org/pdf/1711.10448.pdf> [retrieved on 20180508] *
MARKO ROBNIK-SIKONJA ET AL: "Comprehensible evaluation of prognostic factors and prediction of wound healing", ARTIFICIAL INTELLIGENCE IN MEDICINE, 1 January 2003 (2003-01-01), Netherlands, pages 25 - 38, XP055473679, Retrieved from the Internet <URL:http://lkm.fri.uni-lj.si/rmarko/papers/robnik01-aime.pdf> [retrieved on 20180501], DOI: 10.1016/S0933-3657(03)00044-7 *
SUNDEEP KUMAR K ET AL: "Wound Image Analysis Classifier for Efficient Tracking of Wound Healing Status", SIGNAL AND IMAGE PROCESSING: AN INTERNATIONAL JOURNAL, vol. 5, no. 2, 30 April 2014 (2014-04-30), IN, pages 15 - 27, XP055474118, ISSN: 2229-3922, DOI: 10.5121/sipij.2014.5202 *

Also Published As

Publication number Publication date
EP3646340B1 (en) 2024-01-03
US11334989B2 (en) 2022-05-17
JP7319602B2 (ja) 2023-08-02
JP2020528587A (ja) 2020-09-24
IL271933A (en) 2020-02-27
WO2019021085A1 (en) 2019-01-31
US20210358116A1 (en) 2021-11-18
EP3646340C0 (en) 2024-01-03
EP3646340A1 (en) 2020-05-06

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