Description: Development of Diabetic Foot Ulcer Datasets: An Overview.- DFUC2021 Challenge Papers.- Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification.- Boosting EffcientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers.- Bias Adjustable Activation Network for Imbalanced data - Diabetic Foot Ulcer Challenge 2021.- Effcient Multi-model Vision Transformer based on Feature Fusion for Classification of DFUC2021 Challenge.- Diabetic Foot Ulcer Classification using Well-known Deep Learning Architectures.- Diabetic Foot Ulcer Grand Challenge 2021: Evaluation and Summary.- Post Challenge Paper.- Deep Subspace analysing for Semi-Supervised multi-label classification of Diabetic Foot Ulcer.
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Location: Hillsdale, NSW
End Time: 2025-02-05T03:09:44.000Z
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EAN: 9783030949068
UPC: 9783030949068
ISBN: 9783030949068
MPN: N/A
Format: Paperback, 121 pages, 2022 Edition
Author: Moi Hoon Yap (Edited by)
Book Title: Diabetic Foot Ulcers Grand Challenge: Second Chall
Item Height: 0.7 cm
Item Length: 23.4 cm
Item Weight: 0.2 kg
Item Width: 15.6 cm
Language: Eng
Publisher: Springer