A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology
2017 · IEEE Transactions on Medical Imaging · 1,100 citations
https://doi.org/10.1109/tmi.2017.2677499
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Amit Sethi
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Amit Sethi is an academic researcher from Indian Institute of Technology Bombay. The author has contributed to research in topics: AI in cancer detection & Radiomics and Machine Learning in Medical Imaging & Digital Imaging for Blood Diseases. The author has an h-index of 25, co-authored 204 publications.
ORCID: 0000-0002-8634-1804Papers by this author
worksA Multi-Organ Nucleus Segmentation Challenge
2019 · IEEE Transactions on Medical Imaging · 517 citations
https://doi.org/10.1109/tmi.2019.2947628
Drowsy driver detection using representation learning
2014 · 193 citations
https://doi.org/10.1109/iadcc.2014.6779459
Efficient quality control of whole slide pathology images with human-in-the-loop training
2023 · Journal of Pathology Informatics · 27 citations
https://doi.org/10.1016/j.jpi.2023.100306
Detecting multiple sub-types of breast cancer in a single patient
2016 · 12 citations
https://doi.org/10.1109/icip.2016.7532839
Quantification of subtype purity in Luminal A breast cancer predicts clinical characteristics and survival
2023 · Breast Cancer Research and Treatment · 9 citations
https://doi.org/10.1007/s10549-023-06961-9
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