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Diabetic foot ulcers (DFU) are one of the serious complications of diabetes that can lead to amputations and high healthcare costs. Regular monitoring and early diagnosis are critical for reducing the clinical burden and the risk of…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Gulengul Mermer , Mustafa Furkan Aksu , Gozde Ozsezer , Sevki Cetinkalp , Orhan Er , Mehmet Kemal Gullu

We present a neural network architecture for medical image segmentation of diabetic foot ulcers and colonoscopy polyps. Diabetic foot ulcers are caused by neuropathic and vascular complications of diabetes mellitus. In order to provide a…

Image and Video Processing · Electrical Eng. & Systems 2022-09-16 Ting-Yu Liao , Ching-Hui Yang , Yu-Wen Lo , Kuan-Ying Lai , Po-Huai Shen , Youn-Long Lin

Diabetic foot ulcer classification systems use the presence of wound infection (bacteria present within the wound) and ischaemia (restricted blood supply) as vital clinical indicators for treatment and prediction of wound healing. Studies…

Image and Video Processing · Electrical Eng. & Systems 2022-01-27 Bill Cassidy , Connah Kendrick , Neil D. Reeves , Joseph M. Pappachan , Claire O'Shea , David G. Armstrong , Moi Hoon Yap

At present, the ubiquity method to diagnose the severity of diabetic feet (DF) depends on professional podiatrists. However, in most cases, professional podiatrists have a heavy workload, especially in underdeveloped and developing…

Computer Vision and Pattern Recognition · Computer Science 2023-05-03 Aifu Han , Yongze Zhang , Ajuan Li , Changjin Li , Fengying Zhao , Qiujie Dong , Qin Liu , Yanting Liu , Ximei Shen , Sunjie Yan , Shengzong Zhou

Diabetic foot ulcers (DFUs) are a leading cause of hospitalizations and lower limb amputations, placing a substantial burden on patients and healthcare systems. Early detection and accurate classification of DFUs are critical for preventing…

Computer Vision and Pattern Recognition · Computer Science 2024-10-04 Reza Basiri , Ali Abedi , Chau Nguyen , Milos R. Popovic , Shehroz S. Khan

The Diabetic Foot Ulcer Challenge 2022 focused on the task of diabetic foot ulcer segmentation, based on the work completed in previous DFU challenges. The challenge provided 4000 images of full-view foot ulcer images together with…

Computer Vision and Pattern Recognition · Computer Science 2023-04-25 Connah Kendrick , Bill Cassidy , Neil D. Reeves , Joseph M. Pappachan , Claire O'Shea , Vishnu Chandrabalan , Moi Hoon Yap

This research conducts an investigation on the effect of visually similar images within a publicly available diabetic foot ulcer dataset when training deep learning classification networks. The presence of binary-identical duplicate images…

Computer Vision and Pattern Recognition · Computer Science 2023-04-26 Imran Chowdhury Dipto , Bill Cassidy , Connah Kendrick , Neil D. Reeves , Joseph M. Pappachan , Vishnu Chandrabalan , Moi Hoon Yap

Diabetes is a raising problem that affects many people globally. Diabetic patients are at risk of developing foot ulcer that usually leads to limb amputation, causing significant morbidity, and psychological distress. In order to develop a…

Image and Video Processing · Electrical Eng. & Systems 2021-10-07 Azadeh Alavi , Hossein Akhoundi

Diabetic foot neuropathy (DFN) is a critical factor leading to diabetic foot ulcers, which is one of the most common and severe complications of diabetes mellitus (DM) and is associated with high risks of amputation and mortality. Despite…

Computer Vision and Pattern Recognition · Computer Science 2024-09-24 Yan Zhong , Zhixin Yan , Yi Xie , Shibin Wu , Huaidong Zhang , Lin Shu , Peiru Zhou

Chronic wounds, including diabetic foot ulcers which affect up to one-third of people with diabetes, impose a substantial clinical and economic burden, with U.S. healthcare costs exceeding 25 billion dollars annually. Current wound…

Computer Vision and Pattern Recognition · Computer Science 2025-12-23 Moses Kiprono

This paper presents FUSegNet, a new model for foot ulcer segmentation in diabetes patients, which uses the pre-trained EfficientNet-b7 as a backbone to address the issue of limited training samples. A modified spatial and channel…

Computer Vision and Pattern Recognition · Computer Science 2024-01-30 Mrinal Kanti Dhar , Taiyu Zhang , Yash Patel , Sandeep Gopalakrishnan , Zeyun Yu

Diabetic retinopathy and diabetic macular edema are significant complications of diabetes that can lead to vision loss. Early detection through ultra-widefield fundus imaging enhances patient outcomes but presents challenges in image…

Image and Video Processing · Electrical Eng. & Systems 2024-09-20 Philippe Zhang , Pierre-Henri Conze , Mathieu Lamard , Gwenolé Quellec , Mostafa El Habib Daho

Diabetes is a global raising pandemic. Diabetes patients are at risk of developing foot ulcer that usually leads to limb amputation. In order to develop a self monitoring mobile application, in this work, we propose a novel deep subspace…

Image and Video Processing · Electrical Eng. & Systems 2021-10-06 Azadeh Alavi

Chronic wounds significantly impact quality of life. If not properly managed, they can severely deteriorate. Image-based wound analysis could aid in objectively assessing the wound status by quantifying important features that are related…

Computer Vision and Pattern Recognition · Computer Science 2021-11-03 Gaetano Scebba , Jia Zhang , Sabrina Catanzaro , Carina Mihai , Oliver Distler , Martin Berli , Walter Karlen

Diabetic foot ulcers (DFUs) are a severe complication of diabetes associated with significant morbidity, amputation risk, and healthcare burden. Developing effective continuous monitoring frameworks requires first establishing reliable…

Other Quantitative Biology · Quantitative Biology 2026-05-08 Md Tanvir Hasan Turja

We introduce AiD Regen, a novel system that generates 3D wound models combining 2D semantic segmentation with 3D reconstruction so that they can be printed via 3D bio-printers during the surgery to treat diabetic foot ulcers (DFUs). AiD…

Image and Video Processing · Electrical Eng. & Systems 2023-03-06 Han Joo Chae , Seunghwan Lee , Hyewon Son , Seungyeob Han , Taebin Lim

Diabetic retinopathy is one of the leading causes of preventable blindness in the world. Its earliest sign are red lesions, a general term that groups both microaneurysms and hemorrhages. In daily clinical practice, these lesions are…

Computer Vision and Pattern Recognition · Computer Science 2017-10-16 José Ignacio Orlando , Elena Prokofyeva , Mariana del Fresno , Matthew B. Blaschko

Objective: Diabetic macular edema (DME) is the leading cause of severe visual impairment in patients with diabetes. Quantification of retinal fluid, particularly intraretinal fluid (IRF) and subretinal fluid (SRF), plays a critical role in…

Image and Video Processing · Electrical Eng. & Systems 2026-04-27 Zijun Lei , Zikang Xu , Liang Zhang , Ge Song , Hanyu Guo , Dan Cao , Yujia Zhou , Qianjin Feng

This paper provides conceptual foundation and procedures used in the development of diabetic foot ulcer datasets over the past decade, with a timeline to demonstrate progress. We conduct a survey on data capturing methods for foot…

Image and Video Processing · Electrical Eng. & Systems 2022-01-04 Moi Hoon Yap , Connah Kendrick , Neil D. Reeves , Manu Goyal , Joseph M. Pappachan , Bill Cassidy

Diabetic foot ulcers are a common manifestation of lesions on the diabetic foot, a syndrome acquired as a long-term complication of diabetes mellitus. Accompanying neuropathy and vascular damage promote acquisition of pressure injuries and…

Computer Vision and Pattern Recognition · Computer Science 2022-01-21 Louise Bloch , Raphael Brüngel , Christoph M. Friedrich