Deep-Fuzz: A synergistic integration of deep learning and fuzzy water flows for fine-grained nuclei segmentation in digital pathology

• Nirmal Das ,

  Roles Formal analysis, Methodology, Validation, Visualization, Writing – original draft

  * E-mail: nirmal.das@iem.edu.in (ND); tchakraborty@turing.ac.uk (TC)

  Affiliations Deapartemnt of Computer Science and Engineering (AIML), Institute of Engineering and Management, Kolkata, West Bengal, India, Deapartment of Computer Science and Engineering, Jadavpur University, Kolkata, West Bengal, India

  https://orcid.org/0000-0001-8980-2111

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• Satadal Saha,

  Roles Formal analysis, Investigation, Methodology, Supervision, Validation, Writing – original draft

  Affiliation Department of Electrical and Computer Engineering, MCKV Institute of Engineering, Howrah, West Bengal, India

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• Mita Nasipuri,

  Roles Conceptualization, Investigation, Supervision, Writing – original draft

  Affiliation Deapartment of Computer Science and Engineering, Jadavpur University, Kolkata, West Bengal, India

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• Subhadip Basu,

  Roles Conceptualization, Investigation, Methodology, Supervision, Validation, Writing – original draft

  Affiliation Deapartment of Computer Science and Engineering, Jadavpur University, Kolkata, West Bengal, India

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• Tapabrata Chakraborti

  Roles Conceptualization, Funding acquisition, Investigation, Supervision, Validation, Writing – original draft

  * E-mail: nirmal.das@iem.edu.in (ND); tchakraborty@turing.ac.uk (TC)

  Affiliations University College London and The Alan Turing Institute, London, United Kingdom, Linacre College, University of Oxford, Oxford, United Kingdom

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