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Souvik Pratiher
Student at Kalinga Institute Of Industrial Technology
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Author
Publications (5)
Proceedings Article | 1 November 2018 Paper
Efficacy of deep convolutional neural network features on histological manifold for robust breast carcinoma detection
Subhankar Chattoraj, Souvik Pratiher, Rajdeep Mukherjee, Saikat Ghosh, Arnab Chakraborty, Diptiman Hazra, Sawon Pratiher
Proceedings Volume 10820, 108203Q (2018) https://doi.org/10.1117/12.2505522
KEYWORDS: Breast, Tumor growth modeling, Convolutional neural networks, Solid modeling, Computer aided diagnosis and therapy, Tissues, Medical imaging, Breast cancer, Biopsy, Visualization
Proceedings Article | 26 June 2017 Paper
Towards automated human gait disease classification using phase space representation of intrinsic mode functions
Sawon Pratiher, Sayantani Patra, Souvik Pratiher
Proceedings Volume 10334, 103340X (2017) https://doi.org/10.1117/12.2278894
KEYWORDS: Classification systems, Frequency modulation, Gait analysis, Image classification, Neurological disorders, Modulation, Signal analyzers, Computer simulations, Diagnostics, Computer aided diagnosis and therapy, Computing systems, Amplitude modulation
Proceedings Article | 24 March 2017 Paper
Optical diagnosis of cervical cancer by higher order spectra and boosting
Sawon Pratiher, Sabyasachi Mukhopadhyay, Ritwik Barman, Souvik Pratiher, Asima Pradhan, Nirmalya Ghosh, Prasanta Panigrahi
Proceedings Volume 10063, 100630W (2017) https://doi.org/10.1117/12.2251237
KEYWORDS: Algorithm development, Cervical cancer, Principal component analysis, Spectroscopy, Statistical analysis, Diagnostics, Cancer, Tissues, Scattering, Time-frequency analysis, Machine learning, Distortion
Proceedings Article | 20 March 2017 Paper
Optical diagnosis of cervical cancer by intrinsic mode functions
Sabyasachi Mukhopadhyay, Sawon Pratiher, Souvik Pratiher, Asima Pradhan, Nirmalya Ghosh, Prasanta Panigrahi
Proceedings Volume 10063, 100630V (2017) https://doi.org/10.1117/12.2251225
KEYWORDS: Cancer, Analytical research, Data modeling, Machine learning, Cervical cancer, Tissue optics, Scattering, Spectroscopy, Signal analyzers, Device simulation
Proceedings Article | 3 March 2017 Paper
Recurrence quantification as potential bio-markers for diagnosis of pre-cancer
Sabyasachi Mukhopadhyay, Sawon Pratiher, Ritwik Barman, Souvik Pratiher, Asima Pradhan, Nirmalya Ghosh, Prasanta Panigrahi
Proceedings Volume 10063, 1006310 (2017) https://doi.org/10.1117/12.2251235
KEYWORDS: Cancer, Machine learning, Signal analyzers, Biological research, Statistical analysis, Analytical research, Principal component analysis, Spectroscopy, Tissues, Nonlinear optics, Scattering, Time series analysis, Nonlinear dynamics, Cervical cancer, Optical inspection, Tissue optics, Optical spectroscopy
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