Multi-scale segmentation squeeze-and-excitation UNet with conditional random field for segmenting lung tumor from CT images-Reference-Cited by-同舟云学术

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Multi-scale segmentation squeeze-and-excitation UNet with conditional random field for segmenting lung tumor from CT images

Published:2022-07 Issue: Volume:222 Page:106946
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Zhang Baihua^ORCID,Qi Shouliang^ORCID,Wu Yanan,Pan Xiaohuan,Yao Yudong^ORCID,Qian Wei,Guan Yubao

Funder

Science and Technology Planning Project of Guangdong Province

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference50 articles.

1. Non-small-cell lung cancer;Gridelli;Nat. Rev. Dis. Prim.,2015

2. Cancer statistics, 2020;Siegel;CA Cancer J. Clin.,2020

3. Radiomics: images are more than pictures, they are data;Gillies;Radiology,2016

4. Artificial intelligence in radiology;Hosny;Nat. Rev. Cancer,2018

5. Artificial intelligence in cancer imaging: clinical challenges and applications;Bi;CA Cancer J. Clin.,2019

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