CA3164066A1 - Method for determining severity of skin disease based on percentage of body surface area covered by lesions - Google Patents
Method for determining severity of skin disease based on percentage of body surface area covered by lesionsInfo
- Publication number
- CA3164066A1 CA3164066A1 CA3164066A CA3164066A CA3164066A1 CA 3164066 A1 CA3164066 A1 CA 3164066A1 CA 3164066 A CA3164066 A CA 3164066A CA 3164066 A CA3164066 A CA 3164066A CA 3164066 A1 CA3164066 A1 CA 3164066A1
- Authority
- CA
- Canada
- Prior art keywords
- regions
- image
- training set
- segmentation
- lesion
- Prior art date
- Legal status (The legal status 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 status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06T7/0014—Biomedical image inspection using an image reference approach
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06T2207/30096—Tumor; Lesion
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Quality & Reliability (AREA)
- Artificial Intelligence (AREA)
- Molecular Biology (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Image Analysis (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201962945642P | 2019-12-09 | 2019-12-09 | |
| US62/945,642 | 2019-12-09 | ||
| PCT/IB2020/061648 WO2021116909A1 (en) | 2019-12-09 | 2020-12-08 | Method for determining severity of skin disease based on percentage of body surface area covered by lesions |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CA3164066A1 true CA3164066A1 (en) | 2021-06-17 |
Family
ID=76209792
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CA3164066A Pending CA3164066A1 (en) | 2019-12-09 | 2020-12-08 | Method for determining severity of skin disease based on percentage of body surface area covered by lesions |
Country Status (10)
| Country | Link |
|---|---|
| US (2) | US11538167B2 (https=) |
| EP (1) | EP4073752A4 (https=) |
| JP (1) | JP7695243B2 (https=) |
| KR (1) | KR20220108158A (https=) |
| CN (1) | CN114830173A (https=) |
| AU (1) | AU2020401794A1 (https=) |
| BR (1) | BR112022011111A2 (https=) |
| CA (1) | CA3164066A1 (https=) |
| IL (1) | IL293654A (https=) |
| WO (1) | WO2021116909A1 (https=) |
Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11538167B2 (en) * | 2019-12-09 | 2022-12-27 | Janssen Biotech, Inc. | Method for determining severity of skin disease based on percentage of body surface area covered by lesions |
| US11659998B2 (en) | 2020-03-05 | 2023-05-30 | International Business Machines Corporation | Automatic measurement using structured lights |
| US11484245B2 (en) * | 2020-03-05 | 2022-11-01 | International Business Machines Corporation | Automatic association between physical and visual skin properties |
| CN119206306A (zh) * | 2022-03-02 | 2024-12-27 | 深圳硅基智能科技有限公司 | 识别医学图像中的目标的方法及电子设备 |
| CN114882018B (zh) * | 2022-06-30 | 2022-10-25 | 杭州咏柳科技有限公司 | 一种基于图像的银屑病严重程度的评估系统 |
| CN115830377B (zh) * | 2022-11-28 | 2026-01-06 | 青岛大学 | 基于有限数据的深度学习用于皮肤癌图像分类的方法 |
| US12119118B2 (en) * | 2022-12-09 | 2024-10-15 | BelleTorus Corporation | Compute system with hidradenitis suppurativa severity diagnostic mechanism and method of operation thereof |
| WO2025078613A1 (fr) * | 2023-10-11 | 2025-04-17 | Term Helvet Sa | Procédé de traitement de données relatives à des images |
Family Cites Families (26)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7454046B2 (en) * | 2005-09-20 | 2008-11-18 | Brightex Bio-Photonics, Llc | Method and system for analyzing skin conditions using digital images |
| US8005294B2 (en) | 2006-11-29 | 2011-08-23 | The Mitre Corporation | Cursive character handwriting recognition system and method |
| MY145600A (en) * | 2010-03-29 | 2012-03-01 | Inst Of Technology Petronas Sdn Bhd | A methodology and apparatus for objective assessment and rating of psoriasis lesion thickness using digital imaging |
| MY150801A (en) | 2010-11-08 | 2014-02-28 | Inst Of Technology Petronas Sdn Bhd | A methodology and apparatus for objective, non-invasive and in vivo assessment and rating of psoriasis lesion scaliness using digital imaging |
| US8705860B2 (en) * | 2011-03-14 | 2014-04-22 | Microsoft Corporation | Grouping variables for fast image labeling |
| US8879855B2 (en) * | 2012-08-17 | 2014-11-04 | Nec Laboratories America, Inc. | Image segmentation for large-scale fine-grained recognition |
| US9307926B2 (en) * | 2012-10-05 | 2016-04-12 | Volcano Corporation | Automatic stent detection |
| WO2014109708A1 (en) * | 2013-01-08 | 2014-07-17 | Agency For Science, Technology And Research | A method and system for assessing fibrosis in a tissue |
| US20140316235A1 (en) | 2013-04-18 | 2014-10-23 | Digimarc Corporation | Skin imaging and applications |
| CN104346801B (zh) * | 2013-08-02 | 2018-07-20 | 佳能株式会社 | 图像构图评估装置、信息处理装置及其方法 |
| US10032287B2 (en) | 2013-10-30 | 2018-07-24 | Worcester Polytechnic Institute | System and method for assessing wound |
| US9286537B2 (en) * | 2014-01-22 | 2016-03-15 | Cognizant Technology Solutions India Pvt. Ltd. | System and method for classifying a skin infection |
| SG10201405182WA (en) * | 2014-08-25 | 2016-03-30 | Univ Singapore Technology & Design | Method and system |
| EP3367887A4 (en) | 2015-10-28 | 2019-05-22 | Spectral MD Inc. | METHOD AND DEVICES FOR THE MULTISPEKTRAL, TIME RESOLVED OPTICAL IMAGING FOR TISSUE CLASSIFICATION |
| US9830710B2 (en) | 2015-12-16 | 2017-11-28 | General Electric Company | Systems and methods for hair segmentation |
| US9886758B2 (en) * | 2016-03-31 | 2018-02-06 | International Business Machines Corporation | Annotation of skin image using learned feature representation |
| WO2018107371A1 (zh) * | 2016-12-13 | 2018-06-21 | 上海联影医疗科技有限公司 | 图像搜索系统及方法 |
| US10366490B2 (en) | 2017-03-27 | 2019-07-30 | Siemens Healthcare Gmbh | Highly integrated annotation and segmentation system for medical imaging |
| CN108230294B (zh) * | 2017-06-14 | 2020-09-29 | 北京市商汤科技开发有限公司 | 图像检测方法、装置、电子设备和存储介质 |
| US20190108912A1 (en) * | 2017-10-05 | 2019-04-11 | Iquity, Inc. | Methods for predicting or detecting disease |
| US11010902B2 (en) * | 2018-06-04 | 2021-05-18 | University Of Central Florida Research Foundation, Inc. | Capsules for image analysis |
| CN109363640A (zh) * | 2018-12-04 | 2019-02-22 | 北京贝叶科技有限公司 | 基于皮肤病理图像的识别方法及系统 |
| WO2020146489A1 (en) * | 2019-01-08 | 2020-07-16 | The Rockefeller University | Hyperspectral imaging in automated digital dermoscopy screening for melanoma |
| EP3963541A1 (en) * | 2019-04-29 | 2022-03-09 | UCB Biopharma SRL | Medical image analysis system and method for identification of lesions |
| US11341635B2 (en) * | 2019-10-31 | 2022-05-24 | Tencent America LLC | Computer aided diagnosis system for detecting tissue lesion on microscopy images based on multi-resolution feature fusion |
| US11538167B2 (en) * | 2019-12-09 | 2022-12-27 | Janssen Biotech, Inc. | Method for determining severity of skin disease based on percentage of body surface area covered by lesions |
-
2020
- 2020-12-08 US US17/115,036 patent/US11538167B2/en active Active
- 2020-12-08 EP EP20899126.5A patent/EP4073752A4/en active Pending
- 2020-12-08 CA CA3164066A patent/CA3164066A1/en active Pending
- 2020-12-08 AU AU2020401794A patent/AU2020401794A1/en active Pending
- 2020-12-08 IL IL293654A patent/IL293654A/en unknown
- 2020-12-08 BR BR112022011111A patent/BR112022011111A2/pt unknown
- 2020-12-08 JP JP2022534623A patent/JP7695243B2/ja active Active
- 2020-12-08 KR KR1020227023195A patent/KR20220108158A/ko active Pending
- 2020-12-08 CN CN202080085246.7A patent/CN114830173A/zh active Pending
- 2020-12-08 WO PCT/IB2020/061648 patent/WO2021116909A1/en not_active Ceased
-
2022
- 2022-11-10 US US18/054,372 patent/US11915428B2/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| US11915428B2 (en) | 2024-02-27 |
| EP4073752A1 (en) | 2022-10-19 |
| US20230060162A1 (en) | 2023-03-02 |
| JP2023504901A (ja) | 2023-02-07 |
| CN114830173A (zh) | 2022-07-29 |
| BR112022011111A2 (pt) | 2022-08-23 |
| US11538167B2 (en) | 2022-12-27 |
| EP4073752A4 (en) | 2024-01-03 |
| JP7695243B2 (ja) | 2025-06-18 |
| KR20220108158A (ko) | 2022-08-02 |
| WO2021116909A1 (en) | 2021-06-17 |
| AU2020401794A1 (en) | 2022-07-28 |
| US20210174512A1 (en) | 2021-06-10 |
| IL293654A (en) | 2022-08-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11915428B2 (en) | Method for determining severity of skin disease based on percentage of body surface area covered by lesions | |
| CN105009174B (zh) | 用于评估组织纤维化的方法及系统 | |
| CN112767407B (zh) | 一种基于级联门控3DUnet模型的CT图像肾脏肿瘤分割方法 | |
| CN111192251B (zh) | 基于水平集图像分割的卵泡超声处理方法和系统 | |
| CN114529554B (zh) | 一种胃癌her2数字病理切片智能辅助判读方法 | |
| CN102800089A (zh) | 基于颈部超声图像的主颈动脉血管提取和厚度测量方法 | |
| CN117522892A (zh) | 基于空间通道注意力增强的肺腺癌ct影像病灶分割方法 | |
| CN120279046A (zh) | 基于多模态的消化道肿瘤病灶图像分割方法及分割系统 | |
| Ghislain et al. | An accurate unsupervised extraction of retinal vasculature using curvelet transform and classical morphological operators | |
| Dickson et al. | A Dual Channel Multiscale Convolution U-Net Methodfor Liver Tumor Segmentation from Abdomen CT Images | |
| Nie et al. | Improved Cascade-RCNN for automatic detection of coronary artery plaque in multi-angle fusion CPR images | |
| Mastouri et al. | A morphological operation-based approach for Sub-pleural lung nodule detection from CT images | |
| CN120598908B (zh) | 多尺度空间语义融合的肺部ct图像处理方法及系统 | |
| Thamizhvani et al. | Psoriasis skin disease identification using support vector machine (SVM) image classification and determining the growth rate | |
| Araújo et al. | Active contours for overlapping cervical cell segmentation | |
| CN118154975B (zh) | 基于大数据的肿瘤病理诊断图像分类方法 | |
| Shao et al. | A segmentation method of airway from chest CT image based on VGG-Unet neural network | |
| Lim et al. | Enhancing deep learning pre-trained networks on diabetic retinopathy fundus photographs with SLIC-G | |
| Robinson et al. | Complex wound analysis using AI | |
| CN117935345A (zh) | 基于多模态融合与注意力机制的糖尿病性视网膜病变检测方法、系统及存储介质 | |
| CN114612448B (zh) | 基于快速标签提取和自适应拓扑增强的眼底血管分割方法 | |
| Xiao et al. | OMSN and FAROS: OCTA microstructure segmentation network and fully annotated retinal OCTA segmentation dataset | |
| EA045294B1 (ru) | Способ определения степени тяжести кожного заболевания на основании процентного значения площади поверхности тела, покрытой очагами поражения | |
| RU2694476C1 (ru) | Способ диагностики рака легкого на основе интеллектуального анализа формы, внутренней и внешней структур новообразований | |
| Chen et al. | MSA-MIL: A deep residual multiple instance learning model based on multi-scale annotation for classification and visualization of glomerular spikes |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| EEER | Examination request |
Effective date: 20220920 |
|
| D15 | Examination report completed |
Free format text: ST27 STATUS EVENT CODE: A-2-2-D10-D15-D126 (AS PROVIDED BY THE NATIONAL OFFICE); EVENT TEXT: EXAMINER'S REPORT Effective date: 20241015 |
|
| P11 | Amendment of application requested |
Free format text: ST27 STATUS EVENT CODE: A-2-2-P10-P11-P100 (AS PROVIDED BY THE NATIONAL OFFICE); EVENT TEXT: AMENDMENT RECEIVED - RESPONSE TO EXAMINER'S REQUISITION Effective date: 20250211 |
|
| W00 | Other event occurred |
Free format text: ST27 STATUS EVENT CODE: A-2-2-W10-W00-W111 (AS PROVIDED BY THE NATIONAL OFFICE); EVENT TEXT: CORRESPONDENT DETERMINED COMPLIANT Effective date: 20250415 |
|
| MFA | Maintenance fee for application paid |
Free format text: FEE DESCRIPTION TEXT: MF (APPLICATION, 5TH ANNIV.) - STANDARD Year of fee payment: 5 |
|
| U00 | Fee paid |
Free format text: ST27 STATUS EVENT CODE: A-2-2-U10-U00-U101 (AS PROVIDED BY THE NATIONAL OFFICE); EVENT TEXT: MAINTENANCE REQUEST RECEIVED Effective date: 20251028 |
|
| U11 | Full renewal or maintenance fee paid |
Free format text: ST27 STATUS EVENT CODE: A-2-2-U10-U11-U102 (AS PROVIDED BY THE NATIONAL OFFICE); EVENT TEXT: MAINTENANCE FEE PAYMENT PAID IN FULL Effective date: 20251028 |
|
| D22 | Grant of ip right intended |
Free format text: ST27 STATUS EVENT CODE: A-2-2-D10-D22-D128 (AS PROVIDED BY THE NATIONAL OFFICE); EVENT TEXT: ALLOWANCE REQUIREMENTS DETERMINED COMPLIANT Effective date: 20251216 |
|
| W00 | Other event occurred |
Free format text: ST27 STATUS EVENT CODE: A-2-2-W10-W00-W100 (AS PROVIDED BY THE NATIONAL OFFICE); EVENT TEXT: LETTER SENT Effective date: 20251218 |