An End-to-End Concatenated CNN Attention Model for the Classification of Lung Cancer With XAI Techniques

An End-to-End Concatenated CNN Attention Model for the Classification of Lung Cancer With XAI Techniques

In the field of medical imaging, deep learning (DL) techniques have made significant contributions to the detection and classification of various cancers. Identifying the precise regions in medical images containing cancerous cells plays a crucial role in the diagnostic process. Early and accurate c...

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Bibliographic Details
Main Authors: Fariha Haque, Mohammad Asif Hasan, Md. Abu Ismail Siddique, Tonmoy Roy, Tonmoy Kanti Shaha, Yamina Islam, Avijit Paul, Muhammad E. H. Chowdhury
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Lung cancer
convolutional neural network
CLAHE
explainable AI
Shapley additive explanation
gradient-weighted class activation mapping
Online Access:https://ieeexplore.ieee.org/document/11008645/
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