Automated segmentation of abdominal organs from contrast‐enhanced computed tomography using analysis of texture features-Reference-Cited by-同舟云学术

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Automated segmentation of abdominal organs from contrast‐enhanced computed tomography using analysis of texture features

Published:2020-03-03 Issue:4 Volume:36 Page:
ISSN:2040-7939
Container-title:International Journal for Numerical Methods in Biomedical Engineering
language:en
Short-container-title:Int J Numer Meth Biomed Engng

Author:

Danilov Alexander¹²³^ORCID,Yurova Alexandra¹²^ORCID

Affiliation:

1. Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences Moscow Russia

2. Sechenov University Moscow Russia

3. Moscow Institute of Physics and Technology Dolgoprudny Russia

Funder

Russian Foundation for Basic Research

Publisher

Wiley

Subject

Applied Mathematics,Computational Theory and Mathematics,Molecular Biology,Modelling and Simulation,Biomedical Engineering,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cnm.3309

Reference37 articles.

1. Automatic liver segmentation technique for three-dimensional visualization of CT data.

2. Automatic Abdominal Organ Segmentation from CT images

3. Personalized model adaptation for bioimpedance measurements optimization

4. Machine Learning Applications in Medical Image Analysis

Cited by 3 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. Semantic segmentation and PSO based method for segmenting liver and lesion from CT images;International Journal of Electronics and Telecommunications;2022-04-27

2. Jointly Optimized Spatial Histogram UNET Architecture (JOSHUA) for Adipose Tissue Segmentation;BME Frontiers;2022-01

3. A Liver Segmentation Algorithm with Interactive Error Correction for Abdominal CT Images: A Preliminary Study;IFIP Advances in Information and Communication Technology;2021

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