Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images

Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images

A novel automated multi-classification approach is proposed for the anticipation of lung abnormalities using chest X-ray and CT images. The study leverages a publicly accessible dataset with an insufficient and unbalanced number of images, addressing this issue by employing the data augmentation app...

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Bibliographic Details
Main Authors: Md. Zahid Hasan, Sidratul Montaha, Inam Ullah Khan, Md. Mehedi Hassan, Abdullah Al Mahmud, A. K. M. Rakibul Haque Rafid, Sami Azam, Asif Karim, Spyridon Prountzos, Efthymia Alexopoulou, Umama Binta Ashraf, Sheikh Mohammed Shariful Islam
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Lung disease
chest x-ray
CT scan
image preprocessing
compact convolutional transformer
deep convolutional GAN
Online Access:https://ieeexplore.ieee.org/document/10445174/

Internet

https://ieeexplore.ieee.org/document/10445174/

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