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Automated image analysis method to detect and quantify fat cell infiltration in hematoxylin and eosin stained human pancreas histology images
View ORCID ProfileRoshan Ratnakar Naik, Annie Rajan, View ORCID ProfileNehal Kalita
doi: https://doi.org/10.1101/2021.12.13.472341
Roshan Ratnakar Naik
1Department of Biotechnology, Parvatibai Chowgule College of Arts & Science, Margao-Goa, 403601
Roles: Assistant Professor
Annie Rajan
2Department of Computer Science and Technology, Dhempe College of Arts and Science, Miramar, Panaji-Goa, 403 001. Email address:
Roles: Associate Professor
Nehal Kalita
3Computer Science. Email address:
M.Sc.Article usage
Posted September 28, 2022.
Automated image analysis method to detect and quantify fat cell infiltration in hematoxylin and eosin stained human pancreas histology images
Roshan Ratnakar Naik, Annie Rajan, Nehal Kalita
bioRxiv 2021.12.13.472341; doi: https://doi.org/10.1101/2021.12.13.472341
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