Nabanita Basu

School of Engineering and Applied Science, Aston University
B4 7ET Birmingham
United Kingdom
United Kingdom

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2019
Application of Machine Intelligence in Digital Pathology: Identification of Falciparum Malaria in Thin Blood Smear Image
Nag, S., Basu, N. & Bandyopadhyay, S. K., 12 Dec 2019, Advancement of Machine Intelligence in Interactive Medical Image Analysis. Verma, O. P., Roy, S., Pandey, S. C. & Mittal, M. (eds.). 1 ed. Singapore, p. 65-97 33 p. (Advancement of Machine Intelligence in Interactive Medical Image Analysis).
Research output: Chapter in Book/Published conference output › Chapter (peer-reviewed) › peer-review
2017
Hybrid Approach towards Malaria Parasites Detection from Thin Blood Smear Image
Nag, S., Basu, N. & Bandyopadhyay, S. K., 30 Oct 2017, Hybrid Intelligent Techniques for Pattern Analysis and Understanding. Bhattacharyya, S., Mukherjee, A., Pan, I., Dutta, P. & Bhaumik, A. K. (eds.). 1 ed. New York: Taylor & Francis, p. 93-122 30 p.
Research output: Chapter in Book/Published conference output › Chapter (peer-reviewed) › peer-review
2016
Optimization of Crime Scene Reconstruction Based on Bloodstain Patterns and Machine Learning Techniques
Bandyopadhyay, S. K. & Basu, N., 2016, Handbook of Research on Natural Computing for Optimization Problems. Mandal, J. K., Mukhopadhyay, S. & Pal, T. (eds.). IGI Global, p. 960-988 28 p.
Research output: Chapter in Book/Published conference output › Chapter (peer-reviewed) › peer-review

Dr Nabanita Basu