Yap / Kendrick / Brüngel Diabetic Foot Ulcers Grand Challenge

4th Challenge, DFUC 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
Erscheinungsjahr 2025
ISBN: 978-3-031-80871-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 15335, 125 Seiten, eBook

Reihe: Lecture Notes in Computer Science

This book constitutes the 4th Challenge on Diabetic Foot Ulcers, DFUC2024, held in conjunction with the 27th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, on October 6, 2024.
The 8 full papers presented in this book together with 2 invited papers were carefully reviewed and selected from 11 submissions.
The task of DFUC 2024 was on self-supervised learning in ulcer segmentation, for the purpose of supporting research towards more advanced methods to overcome data deficiency and unlabelled data.

Zielgruppe

Research

Autoren/Hrsg.

Yap, Moi Hoon

Kendrick, Connah

Brüngel, Raphael

Inhaltsverzeichnis

Translating Clinical Delineation of Diabetic Foot Ulcers into Machine Interpretable Segmentation.- Dinov2 Mask R-CNN: Self-supervised Instance Segmentation of Diabetic Foot Ulcers.- Diabetic foot ulcer unsupervised segmentation with Vision Transformers attention.- Self-Supervised Instance Segmentation of Diabetic Foot Ulcers via Feature Correspondence Distillation.- Multi-stage Segmentation of Diabetic Foot Ulcers Using Self-Supervised Learning.- SSL-based Encoder Pre-training for Segmenting a Heterogeneous Chronic Wound Image Database with Few Annotations.- Multi-Scale Attention Network for Diabetic Foot Ulcer Segmentation using Self-Supervised Learning.- A Supervised Segmentation Solution: Diabetic Foot Ulcers Challenge 2024.- CDe: Focus on the Color Differences in Diabetic Foot Images.- Diabetic Foot Ulcer Grand Challenge 2024: Overview and Baseline Methods.