GSC-DVIT: A vision transformer based deep learning model for lung cancer classification in CT images

•To remove the noise present in the input images, the Gaussian enclosed Bilateral Filtering (GaBF) method is used.•For extracting deep features with low dimensionality parameters, Conditional Variational Autoencoder (CVA) model is used.•To detect lung cancer, a GroupWise Separable Convolutional base...

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Bibliographic Details

Published in:	Biomedical signal processing and control Vol. 103; p. 107371
Main Authors:	Mannepalli, Durgaprasad, Kuan Tak, Tan, Bala Krishnan, Sivaneasan, Sreenivas, Velagapudi
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.05.2025
Subjects:	Conditional Variational Auto-encoder Groupwise Separable Convolutional Lightweight Vision Transformer Lung cancer detection Pre-processing Conditional Variational Auto-encoder Lung cancer detection Lightweight Vision Transformer Pre-processing Groupwise Separable Convolutional
ISSN:	1746-8094
Online Access:	Get full text
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