Medical Image Learning with Limited and Noisy Data : First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

Ghada Zamzmi

ISBN 10: 3031167597 / ISBN 13: 9783031167591

Published by Springer Nature Switzerland, 2022

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the First Workshop on Medical Image Learning with Limited and Noisy Data, MILLanD 2022, held in conjunction with MICCAI 2022. The conference was held in Singapore. For this workshop, 22 papers from 54 submissions were accepted for publication. They selected papers focus on the challenges and limitations of current deep learning methods applied to limited and noisy medical data and present new methods for training models using such imperfect data.

Seller Inventory # 9783031167591

Bibliographic Details

• Title: Medical Image Learning with Limited and Noisy Data : First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
• Publisher: Springer Nature Switzerland
• Publication Date: 2022
• Language: English
• ISBN 10: 3031167597
• ISBN 13: 9783031167591
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 14D millimeters 235 millimeters width by 155 millimeters height by 14 millimeters depth
• Weight: 388 grams

About this title

Synopsis

This book constitutes the proceedings of the First Workshop on Medical Image Learning with Limited and Noisy Data, MILLanD 2022, held in conjunction with MICCAI 2022. The conference was held in Singapore. For this workshop, 22 papers from 54 submissions were accepted for publication. They selected papers focus on the challenges and limitations of current deep learning methods applied to limited and noisy medical data and present new methods for training models using such imperfect data.