Machine Learning for Medical Image Reconstruction

Beschreibung

This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.

The 24 full papers presented were carefully reviewed and selected from 32 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging; deep learning for computed tomography; and deep learning for general image reconstruction.

Autor*in

Florian Knoll

Themen in »Machine Learning for Medical Image Reconstruction«

artificial intelligence bioinformatics computer vision deep learning image analysis image processing image quality image reconstruction image segmentation imaging systems machine learning medical images medical sciences medical technologies neural networks

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