118 citations · 323 across the 22 of their papers we have counts for
4 papers · 1 filter
Enhanced Optic Disk and Cup Segmentation with Glaucoma Screening from Fundus Images using Position encoded CNNs
Vismay Agrawal, Avinash Kori, Varghese Alex +1
In this manuscript, we present a robust method for glaucoma screening from fundus images using an ensemble of convolutional neural networks (CNNs). The pipeline comprises of first…
Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers
Mahendra Khened, Varghese Alex Kollerathu, Ganapathy Krishnamurthi
Deep fully convolutional neural network (FCN) based architectures have shown great potential in medical image segmentation. However, such architectures usually have millions of par…
Enhanced Image Classification With Data Augmentation Using Position Coordinates
Avinash Kori, Ganapathy Krishnamurthi, Balaji Srinivasan
In this paper we propose the use of image pixel position coordinate system to improve image classification accuracy in various applications. Specifically, we hypothesize that the u…
2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation
Krishna Chaitanya Kaluva, Mahendra Khened, Avinash Kori +1
In this paper we propose a fully automatic 2-stage cascaded approach for segmentation of liver and its tumors in CT (Computed Tomography) images using densely connected fully convo…