Research Output

Sinha, S., Mali, S., & Rajkhowa, S. (2025). High-precision lung cancer classification with custom CNN: Evaluation and transfer learning for broader cancer types. Procedia Computer Science, 258, 3922–3933.

Dey, C., Aich, J., Sinha, S., Mali, S., & Patra, S. Lung cancer subtype classification via SigLIP Vision Transformer: Pioneering precision oncopathology with vision-language model approach. Biomedical Signal Processing and Control.

Sinha, S., Puri, A. K., Haque, M. A., Kumari, M., Singh, S. K., Mohanty, S., & Mali, S. Comparative analysis of color normalization techniques for lung carcinoma classification using whole slide images. Journal of Clinical and Diagnostic Research.

Mali, S., Mukherjee, A., Parikh, B. P., Patra, S., Bordoloi, S., Rajkhowa, S., & Sinha, S. (Year). A CNN-based approach for lung cancer detection leveraging classical edge detection techniques. Journal of Clinical and Diagnostic Research.

Mali, S., Mandal, D., Acharya, D., Barai, S., Nandi, S., & Sinha, S. On-device CNN-based lung cancer detection on Raspberry Pi 5 with color-coded LED output: Towards microscope-integrated diagnostics. Engineering Letters.

Acharya, D., Sinha, S., Mitra, S., & Mali, S. (Year). Hybrid CNN–GCN framework for lung cancer subtype classification from histopathology images: A comparative deep learning study. Biomedical Signal Processing and Control.

Konar, S., Mukherjee, G., & Sinha, S. Q-AxialPatchNet: A hybrid quantum–classical axial-patch attention network for lung carcinoma detection from WSI patches. International Journal of Imaging Systems and Technology.

Mali, S., Sinha, S., Rajkhowa, S., Parikh, B., & Bordoloi, S. Precision lung cancer classification using convolutional neural networks with enhanced image pre-processing and model optimization.

Mali, S., & Sinha, S. (2025, March). Histopathological Image Processing for Lung Carcinoma Classification: A Comparative Study of Stain Normalization Methods for CNN-Based Analysis. In 2025 6th International Conference on Recent Advances in Information Technology (pp. 1-6). IEEE.

Sinha, S., Mukherjee, A., Datta, S., Rajkhowa, S., Patra, S., & Mali, S. (Year). Optimizing lung carcinoma classification of WSI patches via attention-driven CNN architecture integrated with classical edge detection. In International Conference on Machine Learning and Data Engineering. Procedia Computer Science.