1 citations · 1 across the 4 of their papers we have counts for
4 papers
Clustered Patch Embeddings for Permutation-Invariant Classification of Whole Slide Images
Ravi Kant Gupta, Shounak Das, Amit Sethi
Whole Slide Imaging (WSI) is a cornerstone of digital pathology, offering detailed insights critical for diagnosis and research. Yet, the gigapixel size of WSIs imposes significant…
Classification and Morphological Analysis of DLBCL Subtypes in H\&E-Stained Slides
Ravi Kant Gupta, Mohit Jindal, Garima Jain +10
We address the challenge of automated classification of diffuse large B-cell lymphoma (DLBCL) into its two primary subtypes: activated B-cell-like (ABC) and germinal center B-cell-…
Efficient Whole Slide Image Classification through Fisher Vector Representation
Ravi Kant Gupta, Dadi Dharani, Shambhavi Shanker +1
The advancement of digital pathology, particularly through computational analysis of whole slide images (WSI), is poised to significantly enhance diagnostic precision and efficienc…
Domain-Adaptive Learning: Unsupervised Adaptation for Histology Images with Improved Loss Function Combination
Ravi Kant Gupta, Shounak Das, Amit Sethi
This paper presents a novel approach for unsupervised domain adaptation (UDA) targeting H&E stained histology images. Existing adversarial domain adaptation methods may not effecti…