M. Srinivas

2 accepted papers

2016

Classification of medical images using edge-based features and sparse representation

ICASSP 2016accepted

In this paper, an approach for classification of medical images using edge-based features is proposed. We demonstrate that the edge information extracted from an image by dividing the image into patches and each patch into concentric circular regions provide discriminative information useful for cla…

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2016

Discriminative feature extraction from X-ray images using deep convolutional neural networks

M. Srinivas, Debaditya Roy, C. Krishna Mohan

ICASSP 2016accepted

Feature extraction is one of the most important phases of medical image classification which requires extensive domain knowledge. Convolutional Neural Networks (CNN) have been successfully used for feature extraction in images from different domains involving a lot of classes. In this paper, CNNs ar…

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