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Indian cancer statistics, https://gco.iarc.fr/today/data/factsheets/populations/356-india-fact-sheets.pdf
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Jatinder Manhas, "Analysis on Design Issues of E-Government Websites of India," International Journal of Advanced Research in Computer Science and Software Engineering, vol. 4, no. 2, Feb. 2014.
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Abdul Manan Koli, Muqeem Ahmed, Jatinder Manhas, "An Empirical Study on Potential and Risks of Twitter Data for Predicting Election Outcomes," Emerging Trends in Expert Applications and Security, pp. 725-731, 2018.
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Jatinder Manhas and Vibhakar Mansotra, "Critical Evaluation of e-Government Websites Design," in Proceedings of the 5th National Conference (INDIACom), New Delhi, March 2011.
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Vaishali Pandith, Haneet Kour, Surjeet Singh, Jatinder Manhas, Vinod Sharma, "Performance Evaluation of Machine Learning Techniques for Mustard Crop Yield Prediction from Soil Analysis," Journal of Scientific Research, vol. 64, no. 2, pp. 394-398, 2020.
DOI
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Lu Leng, Zjyuan Yang, Cheonshik Kim, Yue Zhang, "A Light-Weight Practical Framework for Feces Detection and Trait Recognition," Sensors, vol. 20, no. 9, pp. 2664, 2020.
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Ziyuan Yang, Lu Leng, Byung-Gyu Kim, "StoolNet for Color Classification of Stool Medical Images," Electronics, vol. 8, no. 12, pp. 1464, 2019
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Rachit Kumar Gupta, Mandeep Kaur, Jatinder Gupta, "Tissue Level Based Deep Learning Framework for Early Detection of Dysplasia in Oral Squamous Epithelium," Journal of Multimedia Information System, vol. 6, no. 2, pp. 81-86, Jun. 2019.
DOI
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Abid Sarwar, Abrar Ali Sheikh, Jatinder Manhas, Vinod Sharma, "Segmentation of cervical cells for automated screening of cervical cancer: a review," Artificial Intelligence Review, vol. 53, no. 2, pp. 2341-2379, 2020.
DOI
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Rachit Kumar Gupta, Neeraj Kumar, Mandeep Kaur, Jatinder Manhas, Vinod Sharma, "Ensemble Feature Extraction-Based Detection of Abnormal Mass Present in Medical Images Using Machine Learning," Rising Threats in Expert Applications and Solutions, vol. 1187, pp. 241-251, 2021.
DOI
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Marc Macenko, Marc Niethammer, J.S. Marron, David Borland, John.T. Woosley, Xiaojun Guan, Charles Schmitt, Nancy E. Thomas, "A method for normalizing histology slides for quantitative analysis, " in Proceedings of 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, Massachusetts, pp. 1107-1110, 2009.
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Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen, "Mobilenetv2: Inverted residuals and linear bottlenecks," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4510-4520, 2018.
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Fabio Alexandre Spanhol, Luiz S. Oliveira, Caroline Petitjean, Laurent Heutte, "Breast cancer histopathological image classification using Convolutional Neural Networks," in Proceedings of 2016 International Joint Conference on Neural Networks, pp. 2560-2567, 2016.
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J. H. Kim, B. G. Kim, P. P. Roy, et al., "Efficient facial expression recognition algorithm based on hierarchical deep neural network structure," IEEE Access, vol.7, pp. 41273-41285, 2019.
DOI
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Jie Hu, Li Shen, Gang Sun, "Squeeze-and-excitation networks," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7132-7141, 2018.
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Haneet Kour, Jatinder Manhas and Vinod Sharma, "Evaluation of Adaptive Neuro-Fuzzy Inference System with Artificial Neural Network and Fuzzy Logic in Diagnosis of Alzheimer Disease," in Proceedings of 2019 6th International Conference on Computing for Sustainable Global Development (INDIACom), 2019, pp. 1041-1046.
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Faboi A. Spanhol, Luiz S. Oliveira, Carnoline Petitjean and Laurent Heutte, "A Dataset for Breast Cancer Histopathological Image Classification," IEEE Transactions on Biomedical Engineering, vol. 63, no. 7, pp. 1455-1462, July 2016.
DOI
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ICML dataset for breast histopathology images, https://www.kaggle.com/adacslicml/breast-histopathology-images.
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Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler, Andrew Howard, Quoc V. Le, "MnasNet: Platform-aware neural architecture search for mobile," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2820-2828, 2019.
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Mingxing Tan, Quoc Le, "EfficientNET: Rethinking model scaling for convolutional neural networks," in Proceedings of the 36th International Conference on Machine Learning (PMLR), Long Beach, California, vol. 97, pp. 6105-6114, 2019.
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E. Deniz, A. Sengur, Z. Kadiroglu, Y. Guo, V. Bajaj, U. Budak, "Transfer learning based histopathologic image classification for breast cancer detection," Health Information Science and Systems, vol. 6, no. 18, 2018.
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Janowczyk A., Madabhushi A., "Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases," J Pathol Inform, pp. 7-29, Jul. 2016.
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Angel Cruz-Roa, Ajay Basavanhally, Fabio Gonzalez, Hannah Gilmore, Michael Feldman, Shridar Ganesan, Natalie Shih, John Tomaszewski, Anant Madabhushi, Metin N. Gurcan, Anant Madabhushi, Editor(s), in Proceedings of SPIE 9041, Digital Pathology, Medical Imaging, 2014.
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