ENGLISH

Medical Image Learning with Limited and Noisy Data: First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, ... (Lecture Notes in Computer Science, 13559)

By Sameer Antani (editor) , Ghada Zamzmi (editor) , Zhiyun Xue (editor) , Sivaramakrishnan Rajaraman (editor) , Marius George Linguraru (editor) , Ulas Bagci (editor)

Book information

Publisher
Springer
Year
2022
ISBN
3031167597, 9783031167591
Language
english
Format
PDF
Filesize
30 MB (31904141 bytes)
Pages
251\243
Time added
2024-03-29 07:15:41

Description

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.

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