Automatic multi-organ segmentation from abdominal CT volumes with LLE-based graph partitioning and 3D Chan-Vese model

Author:

Tang Ping,Zhao Yu-qian,Liao Miao

Funder

National Natural Science Foundation of China

Higher Education Discipline Innovation Project

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference35 articles.

1. Construction of hierarchical multi-organ statistical atlases and their application to multi-organ segmentation from CT images;Toshiyuki,2008

2. Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors;Okada;Med. Image Anal.,2015

3. Efficient multi-atlas abdominal segmentation on clinically acquired CT with SIMPLE context learning;Xu;Med. Image Anal.,2015

4. Hierarchical 3D Fully Convolutional Networks for Multi-Organ Segmentation;Roth,2017

5. Joint optimization of segmentation and shape prior from level-set-based statistical shape model, and its application to the automated segmentation of abdominal organs;Atsushi;Med. Image Anal.,2016

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