Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation

Beschreibung

This book constitutes the proceedings of the MICCAI 2022 Challenge, FLARE 2022, held in Conjunction with MICCAI 2022, in Singapore, on September 22, 2022.

The 28 full papers presented in this book were carefully reviewed and selected from 48 submissions. The papers present research and results for abdominal organ segmentation which has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis.

Autor*in

Jun Ma

Themen in »Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation«

computing methodologies artificial intelligence computer vision tasks scene understanding medical image segmentation machine learning abdomen organ computed tomography bioinformatics distributed computer systems image analysis image processing image segmentation medical images

Stimmen zu »Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation«

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