5 papers · 1 filter
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…
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…
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…