Low-rank and sparse decomposition based shape model and probabilistic atlas for automatic pathological organ segmentation-Reference-Cited by-同舟云学术

Low-rank and sparse decomposition based shape model and probabilistic atlas for automatic pathological organ segmentation

Published:2017-05 Issue: Volume:38 Page:30-49
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Shi Changfa,Cheng Yuanzhi,Wang Jinke,Wang Yadong,Mori Kensaku,Tamura Shinichi

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference78 articles.

1. Multi-atlas based segmentation of brain images: atlas selection and its effect on accuracy;Aljabar;NeuroImage,2009

2. Automatic liver segmentation from CT scans using multi-layer segmentation and principal component analysis;Badakhshannoory,2010

3. A fast iterative shrinkage-thresholding algorithm for linear inverse problems;Beck;SIAM J. Imaging Sci.,2009

4. Robust PCA via principal component pursuit: a review for a comparative evaluation in video surveillance;Bouwmans;Comput. Vision Image Understanding,2014

5. Distributed optimization and statistical learning via the alternating direction method of multipliers;Boyd;Found. Trends Mach. Learn.,2010

Cited by 63 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Photon-counting spectral CT reconstruction with sparse and double low-rank components fusion;Biomedical Signal Processing and Control;2023-09

2. Low rank and sparse decomposition based on extended $${LL}_{p}$$ norm;Multimedia Tools and Applications;2023-08-28

3. Epa-unet:automatic Segmentation of Liver and Tumor in Ct Images Based on Residual U-net and Efficient Multiscale Attention Methods;2023-08-23

4. Comparative Review on Traditional and Deep Learning Methods for Medical Image Segmentation;2023 IEEE 14th Control and System Graduate Research Colloquium (ICSGRC);2023-08-05

5. Lung Parenchyma Segmentation from CT Images with a Fully Automatic Method;Multimedia Tools and Applications;2023-07-04