Portrait of Manosh Sur Choudhury

Manosh Sur Choudhury

  • Research Assistant, CCDS

Masters, Dhaka University

Publications (4)

Siam Tahsin Bhuiyan, Zayan Zaman, Rashedur Rahman, Manosh Sur Choudhury, Sefatul Wasi, Ashraful Islam, Saadia Binte Alam, Syoji Kobashi

CheXNet-CBAM: Enhancing Large-scale Medical Pre-training with Attention for Lung Disease Diagnosis

2026 IEEE 56th International Symposium on Multiple-Valued Logic (ISMVL), pp. 105-110, 2026

Conference PaperDOIURL
  • CBAM
  • CheXNet
  • DenseNet121
  • lung disease classification
  • Grad-CAM
  • chest radiography
  • computer-aided diagnosis
  • multi-class classification
  • attention mechanism
  • SDG 3Good Health and Well-being

Nur E Jannat Hema, Manosh Sur Choudhury, Sefatul Wasi, Siam Tahsin Bhuiyan, Fatin Israq, Noushin Anan, Saadia Binte Alam, Ashraful Islam, Rashedur Rahman

A Comprehensive Benchmark Study of Transfer Learning-Based Deep Learning Models for Brain Tumor Classification

2026 5th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), pp. 1-6, 2026

Conference PaperDOIURL
  • transfer learning
  • brain tumor classification
  • medical image classification
  • deep learning models
  • benchmark study
  • SDG 3Good Health and Well-being

MD Ajmain Mahtab, Sanjida Tasnim, Manosh Sur Choudhury, Sefatul Wasi, Siam Tahsin Bhuiyan, Saadia Binte Alam, Rashedur Rahman

SensaNet: a lightweight DL model for tuberculosis detection in histopathological images

2025 22nd International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), pp. 1-6, 2025

Conference PaperDOIURL
  • tuberculosis detection
  • Swish activation
  • resource-limited settings
  • sputum smear microscopy
  • point-of-care testing
  • self-attention
  • Kinyoun staining
  • Binary classification
  • lightweight deep learning
  • squeeze-and-excitation
  • SDG 3Good Health and Well-being

Manosh Sur Choudhury, Rashedur Rahman, Siam Tahsin Bhuiyan, Sefatul Wasi, Saadia Binte Alam

Deep Learning for Accurate Classification of Pulmonary Edema Severity in Chest X-Rays: A Comparative Evaluation of CNN Models with Grad-CAM Feature Visualization

2025 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR), pp. 72-77, 2025

Conference PaperDOIURL
  • convolutional neural networks
  • Grad-CAM
  • CheXNet
  • chest radiography
  • Pulmonary edema
  • transfer learning
  • model interpretability
  • SDG 3Good Health and Well-being
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