Construction and validation of a deep learning-based diagnostic model for segmentation and classification of diabetic foot

Construction and validation of a deep learning-based diagnostic model for segmentation and classification of diabetic foot

ObjectiveThis study aims to conduct an in-depth analysis of diabetic foot ulcer (DFU) images using deep learning models, achieving automated segmentation and classification of the wounds, with the goal of exploring the application of artificial intelligence in the field of diabetic foot care.Methods...

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Bibliographic Details
Main Authors: Guang-Xin Zhou, Yu-Kun Tao, Jin-Zheng Hou, Hui-Juan Zhu, Li Xiao, Na Zhao, Xiao-Wen Wang, Bao-Lin Du, Da Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Endocrinology
Subjects:
diabetic foot ulcers
artificial intelligence
deep learning
segmentation
classification
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2025.1543192/full
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https://www.frontiersin.org/articles/10.3389/fendo.2025.1543192/full

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