Efficient deep learning model for classifying lung cancer images using normalized stain agnostic feature method and FastAI-2

Efficient deep learning model for classifying lung cancer images using normalized stain agnostic feature method and FastAI-2

Background Lung cancer has the highest global fatality rate, with diagnosis primarily relying on histological tissue sample analysis. Accurate classification is critical for treatment planning and patient outcomes. Methods This study develops a computer-assisted diagnosis system for non-small cell l...

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Bibliographic Details
Main Authors: Pranshu Saxena, Sanjay Kumar Singh, Mamoon Rashid, Sultan S. Alshamrani, Mrim M. Alnfiai
Format: Article
Language:English
Published: PeerJ Inc. 2025-05-01
Series:PeerJ Computer Science
Subjects:
Lung cancer
Deep learning
Classification
Diagnosis
Histopathological images
Online Access:https://peerj.com/articles/cs-2903.pdf
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