Appraisal of deep-learning techniques on computer-aided lung cancer diagnosis with computed tomography screening

Appraisal of deep-learning techniques on computer-aided lung cancer diagnosis with computed tomography screening

Aims: Deep-learning methods are becoming versatile in the field of medical image analysis. The hand-operated examination of smaller nodules from computed tomography scans becomes a challenging and time-consuming task due to the limitation of human vision. A standardized computer-aided diagnosis (CAD...

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Bibliographic Details
Main Authors: S Akila Agnes, J Anitha
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2020-01-01
Series:Journal of Medical Physics
Subjects:
computer-aided diagnosis system for lung cancer
convolutional neural network
deep learning
false-positive reduction
lung segmentation
pulmonary nodule detection
Online Access:http://www.jmp.org.in/article.asp?issn=0971-6203;year=2020;volume=45;issue=2;spage=98;epage=106;aulast=Agnes

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http://www.jmp.org.in/article.asp?issn=0971-6203;year=2020;volume=45;issue=2;spage=98;epage=106;aulast=Agnes

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