D
Debdoot Sheet
Researcher at Indian Institute of Technology Kharagpur
Publications - 129
Citations - 2813
Debdoot Sheet is an academic researcher from Indian Institute of Technology Kharagpur. The author has contributed to research in topics: Convolutional neural network & Segmentation. The author has an hindex of 19, co-authored 121 publications receiving 1824 citations. Previous affiliations of Debdoot Sheet include Jadavpur University & Ludwig Maximilian University of Munich.
Papers
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Journal ArticleDOI
In situ histology of mice skin through transfer learning of tissue energy interaction in optical coherence tomography
Debdoot Sheet,Amrita Chaudhary,Sri Phani Krishna Karri,Debnath Das,Amin Katouzian,Provas Banerjee,Nassir Navab,Jyotirmoy Chatterjee,Ajoy Kumar Ray +8 more
TL;DR: High accuracy of characterizing heterogeneous tissues using OCT justifies the ability of the computational approach to perform in situ histology and can be extended to regular clinical practice for diagnosis of vascular, retinal, or oral pathologies.
Proceedings ArticleDOI
Federated Learning for Site Aware Chest Radiograph Screening
TL;DR: In this article, the authors proposed a DL architecture with a CNN followed by a Graph Neural Network (GNN) to address the issue of large variations in disease prevalence and co-morbidity distributions across the sites may hinder proper training.
Proceedings ArticleDOI
An Unsupervised Approach for Overlapping Cervical Cell Cytoplasm Segmentation
TL;DR: An automated unsupervised cy toplasm segmentation approach which can effectively find the cytoplasm boundaries in overlapping cells is presented and promising results were obtained by experimenting on ISBI 2015 challenge dataset.
Proceedings ArticleDOI
Detection of retinal vessels in fundus images through transfer learning of tissue specific photon interaction statistical physics
Debdoot Sheet,Sri Phani Krishna Karri,Sailesh Conjeti,Sambuddha Ghosh,Jyotirmoy Chatterjee,Ajoy Kumar Ray +5 more
TL;DR: This work presents a framework for reliable blood vessel detection in fundus color imaging through inductive transfer learning of photon-tissue interaction statistical physics.
Proceedings ArticleDOI
Image quality assessment for performance evaluation of despeckle filters in Optical Coherence Tomography of human skin
TL;DR: In this paper, the performance of a set of despeckle filters for Optical Coherence Tomography (OCT) of the skin is evaluated. And the results of image quality are also related with visual assessment by an expert.