3 citations · 5 across the 9 of their papers we have counts for
9 papers
Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation
Shramana Dey, Varun Ajith, Abhirup Banerjee +1
Domain generalization in fundus imaging is challenging due to variations in acquisition conditions across devices and clinical settings. The inability to adapt to these variations…
Managing Diabetic Retinopathy with Deep Learning: A Data Centric Overview
Shramana Dey, Zahir Khan, T. A. PramodKumar +5
Diabetic Retinopathy (DR) is a serious microvascular complication of diabetes, and one of the leading causes of vision loss worldwide. Although automated detection and grading, wit…
Adaptive Prototype-based Interpretable Grading of Prostate Cancer
Riddhasree Bhattacharyya, Pallabi Dutta, Sushmita Mitra
Prostate cancer being one of the frequently diagnosed malignancy in men, the rising demand for biopsies places a severe workload on pathologists. The grading procedure is tedious a…
Weakly Supervised Patch Annotation for Improved Screening of Diabetic Retinopathy
Shramana Dey, Abhirup Banerjee, B. Uma Shankar +2
Diabetic Retinopathy (DR) requires timely screening to prevent irreversible vision loss. However, its early detection remains a significant challenge since often the subtle patholo…
Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer
Surochita Pal, Sushmita Mitra
This study focuses on the classification of cancerous and healthy slices from multimodal lung images. The data used in the research comprises Computed Tomography (CT) and Positron…
Efficient Self-Supervised Grading of Prostate Cancer Pathology
Riddhasree Bhattacharyya, Surochita Pal Das, Sushmita Mitra
Prostate cancer grading using the ISUP system (International Society of Urological Pathology) for treatment decisions is highly subjective and requires considerable expertise. Desp…
Adaptive Class Learning to Screen Diabetic Disorders in Fundus Images of Eye
Shramana Dey, Pallabi Dutta, Riddhasree Bhattacharyya +3
The prevalence of ocular illnesses is growing globally, presenting a substantial public health challenge. Early detection and timely intervention are crucial for averting visual im…
Memristor-Based Selective Convolutional Circuit for High-Density Salt-and-Pepper Noise Removal
Binghui Ding, Ling Chen, Chuandong Li +2
In this article, we propose a memristor-based selective convolutional (MSC) circuit for salt-and-pepper (SAP) noise removal. We implement its algorithm using memristors in analog c…
Collective Intelligent Strategy for Improved Segmentation of COVID-19 from CT
Surochita Pal Das, Sushmita Mitra, B. Uma Shankar
The devastation caused by the coronavirus pandemic makes it imperative to design automated techniques for a fast and accurate detection. We propose a novel non-invasive tool, using…