Milind M. Mushrif

Employment

Employment history is unavailable.

Education

• Indian Institute of Technology Kharagpur PhD

Projects & Funding

Projects & funding information is unavailable.

Publications (34)

• Brain tumor type detection using texture features in MR images
  IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2019 DOI: 10.1109/R10-HTC.2018.8629800
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• BRAIN TUMOR DETECTION AND SEGMENTATION USING MULTISCALE INTUITIONISTIC FUZZY ROUGHNESS IN MR IMAGES
  Biomedical Engineering - Applications, Basis and Communications 2019 DOI: 10.4015/S1016237219500200
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• An Effective Algorithm for Hemorrhages Detection in Retinal Images
  2018 5th International Conference on Signal Processing and Integrated Networks, SPIN 2018 2018 DOI: 10.1109/SPIN.2018.8474164
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• Breast Epithelial Duct Region Segmentation Using Intuitionistic Fuzzy Based Multi-Texture Image Map
  2017 14th IEEE India Council International Conference, INDICON 2017 2018 DOI: 10.1109/INDICON.2017.8487730
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• Extraction of blood vessels and optic disc in retinal images
  Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization 2018 DOI: 10.1080/21681163.2016.1154806
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• Implementation of brain MR image segmentation algorithm on DSP
  Proceedings of the 2017 IEEE International Conference on Communication and Signal Processing, ICCSP 2017 2018 DOI: 10.1109/ICCSP.2017.8286767
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• Superpixel based roughness measure for cotton leaf diseases detection and classification
  Proceedings of the 4th IEEE International Conference on Recent Advances in Information Technology, RAIT 2018 2018 DOI: 10.1109/RAIT.2018.8388993
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• Breast histopathology image segmentation using spatio-colour-texture based graph partition method
  Journal of Microscopy 2016 DOI: 10.1111/jmi.12361
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• Classification of breast cancer histopathology images using texture feature analysis
  IEEE Region 10 Annual International Conference, Proceedings/TENCON 2016 DOI: 10.1109/TENCON.2015.7372809
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• FCM Clustering Algorithms for Segmentation of Brain MR Images
  Advances in Fuzzy Systems 2016 DOI: 10.1155/2016/3406406
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