Efficacy of hidden markov model over support vector machine on multiclass classification of healthy and cancerous cervical tissues

Sabyasachi Mukhopadhyay; Indrajit Kurmi; Sawon Pratiher; Sukanya Mukherjee; Ritwik Barman; Nirmalya Ghosh; Prasanta K. Panigrahi

doi:10.1117/12.2291485

20 February 2018 Efficacy of hidden markov model over support vector machine on multiclass classification of healthy and cancerous cervical tissues

Sabyasachi Mukhopadhyay, Indrajit Kurmi, Sawon Pratiher, Sukanya Mukherjee, Ritwik Barman, Nirmalya Ghosh, Prasanta K. Panigrahi

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Proceedings Volume 10501, Optical Diagnostics and Sensing XVIII: Toward Point-of-Care Diagnostics; 105011M (2018) https://doi.org/10.1117/12.2291485
Event: SPIE BiOS, 2018, San Francisco, California, United States

Abstract

In this paper, a comparative study between SVM and HMM has been carried out for multiclass classification of cervical healthy and cancerous tissues. In our study, the HMM methodology is more promising to produce higher accuracy in classification.

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Sabyasachi Mukhopadhyay, Indrajit Kurmi, Sawon Pratiher, Sukanya Mukherjee, Ritwik Barman, Nirmalya Ghosh, and Prasanta K. Panigrahi "Efficacy of hidden markov model over support vector machine on multiclass classification of healthy and cancerous cervical tissues", Proc. SPIE 10501, Optical Diagnostics and Sensing XVIII: Toward Point-of-Care Diagnostics, 105011M (20 February 2018); https://doi.org/10.1117/12.2291485

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