A novel hybridized feature extraction approach for lung nodule classification based on transfer learning technique

A novel hybridized feature extraction approach for lung nodule classification based on transfer learning technique

Purpose: In the field of medical diagnosis, deep learning-based computer-aided detection of diseases will reduce the burden of physicians in the diagnosis of diseases especially in the case of lung cancer nodule classification. Materials and Methods: A hybridized model which integrates deep features...

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Bibliographic Details
Main Authors: P Malin Bruntha, S Immanuel Alex Pandian, J Anitha, Siril Sam Abraham, S Niranjan Kumar
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2022-01-01
Series:Journal of Medical Physics
Subjects:
convolutional neural network
hybridized features
radial basis function support vector machine
residual neural network
transfer learning
Online Access:http://www.jmp.org.in/article.asp?issn=0971-6203;year=2022;volume=47;issue=1;spage=1;epage=9;aulast=Bruntha

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http://www.jmp.org.in/article.asp?issn=0971-6203;year=2022;volume=47;issue=1;spage=1;epage=9;aulast=Bruntha

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