2 citations · 2 across the 3 of their papers we have counts for
3 papers
Artery-Vein Segmentation from Fundus Images using Deep Learning
Sharan SK, Subin Sahayam, Umarani Jayaraman +1
Segmenting of clinically important retinal blood vessels into arteries and veins is a prerequisite for retinal vessel analysis. Such analysis can provide potential insights and bio…
Detection of Under-represented Samples Using Dynamic Batch Training for Brain Tumor Segmentation from MR Images
Subin Sahayam, John Michael Sujay Zakkam, Yoga Sri Varshan +1
Brain tumors in magnetic resonance imaging (MR) are difficult, time-consuming, and prone to human error. These challenges can be resolved by developing automatic brain tumor segmen…
Integrating Edge Information into Ground Truth for the Segmentation of the Optic Disc and Cup from Fundus Images
Yoga Sri Varshan, Hitesh Gupta Kattamuri, Subin Sahayam +1
Optic disc and cup segmentation helps in the diagnosis of glaucoma, myocardial infarction, and diabetic retinopathy. Most deep learning methods developed to perform segmentation ta…