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portada Diabetic Foot Ulcers Grand Challenge. 4th Challenge, DFUC 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
Formato
Libro Físico
Colección
Lecture Notes in Computer Science
Año
2025
N° páginas
125
Encuadernación
Tapa Blanda
Dimensiones
23.50 x 15.50 cm
ISBN13
9783031808708

Diabetic Foot Ulcers Grand Challenge. 4th Challenge, DFUC 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings

Connah Kendrick;Raphael Brungel;Moi Hoon Yap (Autor) · Springer International Publishing AG · Tapa Blanda

Diabetic Foot Ulcers Grand Challenge. 4th Challenge, DFUC 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings - Connah Kendrick;Raphael Brungel;Moi Hoon Yap

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Reseña del libro "Diabetic Foot Ulcers Grand Challenge. 4th Challenge, DFUC 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings"

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.

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.

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