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Producing high-quality segmentation masks for medical images is a fundamental challenge in biomedical image analysis. Recent research has explored large-scale supervised training to enable segmentation across various medical imaging…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Abderrachid Hamrani , Anuradha Godavarty

Identifying individual tissues, so-called tissue segmentation, in diabetic foot ulcer (DFU) images is a challenging task and little work has been published, largely due to the limited availability of a clinical image dataset. To address…

Image and Video Processing · Electrical Eng. & Systems 2024-06-25 Mrinal Kanti Dhar , Chuanbo Wang , Yash Patel , Taiyu Zhang , Jeffrey Niezgoda , Sandeep Gopalakrishnan , Keke Chen , Zeyun Yu

Automated segmentation of diabetic foot ulcers (DFUs) plays a critical role in clinical diagnosis, therapeutic planning, and longitudinal wound monitoring. However, this task remains challenging due to the heterogeneous appearance,…

Image and Video Processing · Electrical Eng. & Systems 2026-03-10 Akwasi Asare , Mary Sagoe , Justice Williams Asare , Stephen Edward Moore

Diabetic Foot Ulcer (DFU) is a major complication of Diabetes, which if not managed properly can lead to amputation. DFU can appear anywhere on the foot and can vary in size, colour, and contrast depending on various pathologies. Current…

Computer Vision and Pattern Recognition · Computer Science 2017-08-08 Manu Goyal , Neil D. Reeves , Satyan Rajbhandari , Jennifer Spragg , Moi Hoon Yap

Diabetic foot ulcers (DFUs), a class of chronic wounds, affect ~750,000 individuals every year in the US alone and identifying non-healing DFUs that develop to chronic wounds early can drastically reduce treatment costs and minimize risks…

Image and Video Processing · Electrical Eng. & Systems 2025-06-05 Madhu Babu Sikha , Lalith Appari , Gurudatt Nanjanagudu Ganesh , Amay Bandodkar , Imon Banerjee

Diabetic Foot Ulcer (DFU) is a serious skin wound requiring specialized care. However, real DFU datasets are limited, hindering clinical training and research activities. In recent years, generative adversarial networks and diffusion models…

Image and Video Processing · Electrical Eng. & Systems 2023-11-01 Reza Basiri , Karim Manji , Francois Harton , Alisha Poonja , Milos R. Popovic , Shehroz S. Khan

Diabetic Foot Ulcer (DFU) is a condition requiring constant monitoring and evaluations for treatment. DFU patient population is on the rise and will soon outpace the available health resources. Autonomous monitoring and evaluation of DFU…

Computer Vision and Pattern Recognition · Computer Science 2023-11-29 Reza Basiri , Milos R. Popovic , Shehroz S. Khan

Diabetic Foot Ulcers (DFU) that affect the lower extremities are a major complication of diabetes. Each year, more than 1 million diabetic patients undergo amputation due to failure to recognize DFU and get the proper treatment from…

Computer Vision and Pattern Recognition · Computer Science 2020-07-17 Manu Goyal , Saeed Hassanpour

Diabetic foot ulcer is a severe condition that requires close monitoring and management. For training machine learning methods to auto-delineate the ulcer, clinical staff must provide ground truth annotations. In this paper, we propose a…

Image and Video Processing · Electrical Eng. & Systems 2022-10-04 Connah Kendrick , Bill Cassidy , Joseph M. Pappachan , Claire O'Shea , Cornelious J. Fernandez , Elias Chacko , Koshy Jacob , Neil D. Reeves , Moi Hoon Yap

Globally, in 2016, one out of eleven adults suffered from Diabetes Mellitus. Diabetic Foot Ulcers (DFU) are a major complication of this disease, which if not managed properly can lead to amputation. Current clinical approaches to DFU…

Computer Vision and Pattern Recognition · Computer Science 2017-12-12 Manu Goyal , Neil D. Reeves , Adrian K. Davison , Satyan Rajbhandari , Jennifer Spragg , Moi Hoon Yap

Diabetic foot ulcers (DFUs) constitute a serious complication for people with diabetes. The care of DFU patients can be substantially improved through self-management, in order to achieve early-diagnosis, ulcer prevention, and complications…

Image and Video Processing · Electrical Eng. & Systems 2022-09-21 Agapi Davradou , Eftychios Protopapadakis , Maria Kaselimi , Anastasios Doulamis , Nikolaos Doulamis

Diabetic foot ulcer (DFU) detection is a clinically significant yet challenging task due to the scarcity and variability of publicly available datasets. To solve these problems, we propose ConMatFormer, a new hybrid deep learning…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 Raihan Ahamed Rifat , Fuyad Hasan Bhoyan , Md Humaion Kabir Mehedi , Md Kaviul Hossain , Md. Jakir Hossen , M. F. Mridha

Recognition and analysis of Diabetic Foot Ulcers (DFU) using computerized methods is an emerging research area with the evolution of image-based machine learning algorithms. Existing research using visual computerized methods mainly focuses…

Image and Video Processing · Electrical Eng. & Systems 2020-02-11 Manu Goyal , Neil Reeves , Satyan Rajbhandari , Naseer Ahmad , Chuan Wang , Moi Hoon Yap

DFU is a severe complication of diabetes that can lead to amputation of the lower limb if not treated properly. Inspired by the 2021 Diabetic Foot Ulcer Grand Challenge, researchers designed automated multi-class classification of DFU,…

Computer Vision and Pattern Recognition · Computer Science 2023-05-09 Md Mahamudul Hasan , Moi Hoon Yap , Md Kamrul Hasan

We explore Generalizable Tumor Segmentation, aiming to train a single model for zero-shot tumor segmentation across diverse anatomical regions. Existing methods face limitations related to segmentation quality, scalability, and the range of…

Computer Vision and Pattern Recognition · Computer Science 2025-05-06 Yankai Jiang , Peng Zhang , Donglin Yang , Yuan Tian , Hai Lin , Xiaosong Wang

To detect infected wounds in Diabetic Foot Ulcers (DFUs) from photographs, preventing severe complications and amputations. Methods: This paper proposes the Guided Conditional Diffusion Classifier (ConDiff), a novel deep-learning infection…

Computer Vision and Pattern Recognition · Computer Science 2024-05-03 Palawat Busaranuvong , Emmanuel Agu , Deepak Kumar , Shefalika Gautam , Reza Saadati Fard , Bengisu Tulu , Diane Strong

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 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

Chronic wounds including diabetic and arterial/venous insufficiency injuries have become a major burden for healthcare systems worldwide. Demographic changes suggest that wound care will play an even bigger role in the coming decades.…

Image and Video Processing · Electrical Eng. & Systems 2022-01-26 Maja Schlereth , Daniel Stromer , Yash Mantri , Jason Tsujimoto , Katharina Breininger , Andreas Maier , Caesar Anderson , Pranav S. Garimella , Jesse V. Jokerst

Offloading footwear helps prevent and treat diabetic foot ulcers (DFUs) by lowering plantar pressure (PP), yet prescription decisions remain fragmented: feature selection varies, personalization is limited, and evaluation practices differ.…

Machine Learning · Computer Science 2025-09-04 Kunal Kumar , Muhammad Ashad Kabir , Luke Donnan , Sayed Ahmed
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