Amazon cover image
Image from Amazon.com

Diabetic foot ulcers grand challenge : second challenge, DFUC 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings / Moi Hoon Yap, Bill Cassidy, Connah Kendrick (eds.).

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 13183. | LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.Publisher: Cham : Springer, [2022]Copyright date: ©2022Description: 1 online resource : illustrations (chiefly color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030949075
  • 3030949079
Other title:
  • DFUC 2021
Subject(s): Genre/Form: Additional physical formats: No titleDDC classification:
  • 616.4/62 23
LOC classification:
  • RC660.A15 D48 2021
Online resources:
Contents:
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 -- Efficient 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.
Summary: This book constitutes the Second Diabetic Foot Ulcers Grand Challenge, DFUC 2021, which was held on September 27, 2021, in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021. The challenge took place virtually due to the COVID-19 pandemic. The 6 full papers included in this book were carefully reviewed and selected from 14 submissions. There is also on overview paper on the challenge and datasets and one summary paper of DFCU 2021. .
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library eBook LNCS Available
Total holds: 0

International conference proceedings.

Includes author index.

This book constitutes the Second Diabetic Foot Ulcers Grand Challenge, DFUC 2021, which was held on September 27, 2021, in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021. The challenge took place virtually due to the COVID-19 pandemic. The 6 full papers included in this book were carefully reviewed and selected from 14 submissions. There is also on overview paper on the challenge and datasets and one summary paper of DFCU 2021. .

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 -- Efficient 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.

Online resource; title from PDF title page (SpringerLink, viewed January 28, 2022).

Powered by Koha