Interpretable and Annotation-Efficient Learning for Medical Image Computing

Jaime Cardoso, et al.

Informasi Dasar

22.21.340
610.28
Buku - Elektronik (E-Book)
11b

This book constitutes the refereed joint proceedings of the 10th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2020, and the 9th International Workshop on Clinical Image-Based Procedures, CLIP 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic.

The 4 full papers presented at ML-CDS 2020 and the 9 full papers presented at CLIP 2020 were carefully reviewed and selected from numerous submissions to ML-CDS and 10 submissions to CLIP. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The CLIP workshops provides a forum for work centered on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.

Subjek

Biomedical Engineering
 

Katalog

Interpretable and Annotation-Efficient Learning for Medical Image Computing
978-3-030-61166-8
306p.: pdf file.; 54 MB
English

Sirkulasi

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Pengarang

Jaime Cardoso, et al.
Perorangan
 
 

Penerbit

Springer
New York
2020

Koleksi

Kompetensi

 

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