activity
20152022
most citedA Gaussian Scale Space Approach For Exudates Detection, Classification And Severity Prediction

20 citations · 74 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV20187 cited

Towards Ophthalmologist Level Accurate Deep Learning System for OCT Screening and Diagnosis

Mrinal Haloi

In this work, we propose an advanced AI based grading system for OCT images. The proposed system is a very deep fully convolutional attentive classification network trained with en…

cs.CV2018

Towards Radiologist-Level Accurate Deep Learning System for Pulmonary Screening

Mrinal Haloi, K. Raja Rajalakshmi, Pradeep Walia

In this work, we propose advanced pneumonia and Tuberculosis grading system for X-ray images. The proposed system is a very deep fully convolutional classification network with onl…

cs.LG20173 cited

Rethinking Convolutional Semantic Segmentation Learning

Mrinal Haloi

Deep convolutional semantic segmentation (DCSS) learning doesn't converge to an optimal local minimum with random parameters initializations; a pre-trained model on the same domain…

cs.LG20172 cited

Deep Learning: Generalization Requires Deep Compositional Feature Space Design

Mrinal Haloi

Generalization error defines the discriminability and the representation power of a deep model. In this work, we claim that feature space design using deep compositional function p…

cs.CV201520 cited

A Gaussian Scale Space Approach For Exudates Detection, Classification And Severity Prediction

Mrinal Haloi, Samarendra Dandapat, Rohit Sinha

In the context of Computer Aided Diagnosis system for diabetic retinopathy, we present a novel method for detection of exudates and their classification for disease severity predic…

cs.CV20155 cited

A Robust Lane Detection and Departure Warning System

Mrinal Haloi, Dinesh Babu Jayagopi

In this work, we have developed a robust lane detection and departure warning technique. Our system is based on single camera sensor. For lane detection a modified Inverse Perspect…