Maitreya Maity

Employment

Employment history is unavailable.

Education

• Indian Institute of Technology Kharagpur PhD Scholar
  2013 - Present

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• Quantification of malaria parasitaemia using trainable semantic segmentation and capsnet
  Pattern Recognition Letters 2020 DOI: 10.1016/j.patrec.2020.07.002
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• Visible spectrum-based classification of malaria blood samples on handheld spectrometer
  I2MTC 2019 - 2019 IEEE International Instrumentation and Measurement Technology Conference, Proceedings 2019 DOI: 10.1109/I2MTC.2019.8826860
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• A computer vision approach for lung cancer classification using FNAC-based cytological images
  Advances in Intelligent Systems and Computing 2018 DOI: 10.1007/978-981-10-7898-9_15
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• Assessment of segmentation techniques for chronic wound surface area detection
  Advances in Intelligent Systems and Computing 2018 DOI: 10.1007/978-981-10-8237-5_68
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• Combining GMM-based hidden markov random field and bag-of-words trained classifier for lung cancer detection using pap-stained microscopic images
  Advances in Intelligent Systems and Computing 2018 DOI: 10.1007/978-981-10-8237-5_67
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• Pixel-based supervised tissue classification of chronic wound images with deep autoencoder
  Advances in Intelligent Systems and Computing 2018 DOI: 10.1007/978-981-10-8237-5_70
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• Selection of colour correction algorithms for calibrating optical chronic ulcer images
  Lecture Notes in Electrical Engineering 2018 DOI: 10.1007/978-981-10-8240-5_63
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• An Ensemble Rule Learning Approach for Automated Morphological Classification of Erythrocytes
  Journal of Medical Systems 2017 DOI: 10.1007/s10916-017-0691-x
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• Fuzzy spectral clustering for automated delineation of chronic wound region using digital images
  Computers in Biology and Medicine 2017 DOI: 10.1016/j.compbiomed.2017.04.004
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• Web-Enabled Distributed Health-Care Framework for Automated Malaria Parasite Classification: an E-Health Approach
  Journal of Medical Systems 2017 DOI: 10.1007/s10916-017-0834-0
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