Lung disease diagnosis from CXR using convolutional neural network (CNN): A comparative study

Keywords

• viral pneumonia
• Tuberculosis
• lung disease diagnosis
• convolutional neural networks
• lung opacity
• ResNet
• MobileNetV2
• COVID-19 pandemic
• chest radiography
• DenseNet

CCDS Authors

Siam Tahsin Bhuiyan

Siam Tahsin Bhuiyan

• Intern, CCDS

Bachelors

Independent University, Bangladesh

Published at

Scientific Reports

Md. Rashedur Rahman, D. Eng.

Md. Rashedur Rahman, D. Eng.

• Co-Director, MIRA & NEST Wings

Assistant Professor

Department of Computer Science and Engineering

Independent University, Bangladesh

Published at

CHI, HCII, Scientific Reports, Cognitive Computation, Neural Computing and Applications

Saadia Binte Alam, PhD

Saadia Binte Alam, PhD

• Director, MIRA & WiSE Wings

Associate Professor

Department of Computer Science and Engineering

Independent University, Bangladesh

Published at

HCII, Scientific Reports, Cognitive Computation, Neural Computing and Applications

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2. 2.Sayeda Subha Ashrafi, Tushar Ahmed Shishir. (2026). Deep Learning-Based Automated Breast Cancer Detection from Histopathology Images: Benchmarking CNN and Transformer Architectures. , 1–6[10.1109/peccii70991.2026.11662018]
3. 3.Siam Tahsin Bhuiyan, Zayan Zaman, Rashedur Rahman, Manosh Sur Choudhury, Sefatul Wasi, Ashraful Islam, Saadia Binte Alam, Syoji Kobashi. (2026). CheXNet-CBAM: Enhancing Large-scale Medical Pre-training with Attention for Lung Disease Diagnosis. , 105–110[10.1109/ismvl68998.2026.00027]