Medical Image Learning with Limited and Noisy Data 1

Data & IT

Medical Image Learning with Limited and Noisy Data

Zhiyun Xue • Sameer Antani • Ghada Zamzmi • Feng Yang • Sivaramakrishnan Rajaraman

Pocket

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270 sidor
2023

This book consists of full papers presented in the 2nd workshop of Medical Image Learning with Noisy and Limited Data (MILLanD) held in conjunction with the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023).The 24 full papers presented were carefully reviewed and selected from 38 submissions. The conference focused on 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.

Författare: Zhiyun Xue, Sameer Antani, Ghada Zamzmi, Feng Yang, Sivaramakrishnan Rajaraman
Format: Pocket/Paperback
ISBN: 9783031471964
Språk: Engelska
Antal sidor: 270
Utgivningsdatum: 2023-10-31
Förlag: Springer International Publishing AG