An Automatic Assessment System of Diabetic Foot Ulcers Based on Wound Area Determination, Color Segmentation, and Healing Score Evaluation

Author:

Wang Lei1,Pedersen Peder C.1,Strong Diane M.2,Tulu Bengisu2,Agu Emmanuel3,Ignotz Ron4,He Qian3

Affiliation:

1. Electrical and Computer Engineering Department, Worcester Polytechnic Institute, Worcester, MA, USA

2. School of Business, Worcester Polytechnic Institute, Worcester, MA, USA

3. Computer Science Department, Worcester Polytechnic Institute, Worcester, MA, USA

4. Plastic Surgery Department, UMASS Medical School, Worcester, MA, USA

Publisher

SAGE Publications

Subject

Biomedical Engineering,Bioengineering,Endocrinology, Diabetes and Metabolism,Internal Medicine

Cited by 26 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Improving deep learning based segmentation of scars using multi-view images;Biomedical Signal Processing and Control;2024-08

2. Intelligent Care Management for Diabetic Foot Ulcers: A Scoping Review of Computer Vision and Machine Learning Techniques and Applications;Journal of Diabetes Science and Technology;2023-11-12

3. Interactive Skin Wound Segmentation Based on Feature Augment Networks;IEEE Journal of Biomedical and Health Informatics;2023-07

4. COMPUTER SYSTEMS TO AID IN WOUND HEALING: SCOPE REVIEW;ESTIMA, Brazilian Journal of Enterostomal Therapy;2023-03-01

5. SISTEMAS COMPUTACIONAIS PARA AUXÍLIO NA CICATRIZAÇÃO DE FERIDAS: REVISÃO DE ESCOPO;ESTIMA, Brazilian Journal of Enterostomal Therapy;2023-03-01

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