Computer-aided diagnosis of liver lesions using CT images: A systematic review-Reference-Cited by-同舟云学术

Computer-aided diagnosis of liver lesions using CT images: A systematic review

Published:2020-12 Issue: Volume:127 Page:104035
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Nayantara P Vaidehi,Kamath Surekha,Manjunath K.N.,Rajagopal K.V.

Funder

DST, Government of Karnataka, India

Manipal Institute of Technology, M.A.H.E.

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference104 articles.

1. Burden of liver diseases in the world;Asrani;J. Hepatol.,2019

2. Liver cancer global WHO report;Iarc,2018

3. Focal liver lesions;Schima,2018

4. Liver segmentation from computed tomography scans: a survey and a new algorithm;Campadelli;Artif. Intell. Med.,2009

5. Recent advances and future potential of computer aided diagnosis of liver cancmentaer on computed tomography images;Megha;Commun. Comput. Inf. Sci.,2011

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