Development of a Machine-Learning System to Classify Lung CT Scan Images into Normal/COVID-19 Class

no code implementations • 24 Apr 2020 • Seifedine Kadry, Venkatesan Rajinikanth, Seungmin Rho, Nadaradjane Sri Madhava Raja, Vaddi Seshagiri Rao, Krishnan Palani Thanaraj

This MLS implements a sequence of methods, such as multi-thresholding, image separation using threshold filter, feature-extraction, feature-selection, feature-fusion and classification.

BIG-bench Machine Learning feature selection +1

Firefly-Algorithm Supported Scheme to Detect COVID-19 Lesion in Lung CT Scan Images using Shannon Entropy and Markov-Random-Field

no code implementations • 14 Apr 2020 • Venkatesan Rajinikanth, Seifedine Kadry, Krishnan Palani Thanaraj, Krishnamurthy Kamalanand, Sanghyun Seo

The proposed work aims to suggest an automated image processing scheme to extract the COVID-19 lesion from the lung CT scan images (CTI) recorded from the patients.

Image and Video Processing

Implementation of Deep Neural Networks to Classify EEG Signals using Gramian Angular Summation Field for Epilepsy Diagnosis

no code implementations • 8 Mar 2020 • K. Palani Thanaraj, B. Parvathavarthini, U. John Tanik, V. Rajinikanth, Seifedine Kadry, K. Kamalanand

The results of this paper show that the Custom CNN model was able to discriminate against the focal and normal GASF images with an average peak Precision of 0. 885, Recall of 0. 92, and F1-score of 0. 90.

EEG Image Classification +1