Medical Image Learning with Limited and Noisy Data

Beschreibung

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.

Autor*in

Zhiyun Xue

Themen in »Medical Image Learning with Limited and Noisy Data«

noisy data limited data medical images deep learning machine learning unsupervised learning data annotations semi-supervised learning self-supervised learning active learning contrastive learning multitask learning effective training efficient annotation

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