43 citations · 60 across the 5 of their papers we have counts for
5 papers
A Systematic Approach for MRI Brain Tumor Localization, and Segmentation using Deep Learning and Active Contouring
Shanaka Ramesh Gunasekara, H. N. T. K. Kaldera, Maheshi B. Dissanayake
One of the main requirements of tumor extraction is the annotation and segmentation of tumor boundaries correctly. For this purpose, we present a threefold deep learning architectu…
Deep Learning Methods for Screening Pulmonary Tuberculosis Using Chest X-rays
Chirath Dasanayakaa, Maheshi Buddhinee Dissanayake
Tuberculosis (TB) is a contagious bacterial airborne disease, and is one of the top 10 causes of death worldwide. According to the World Health Organization (WHO), around 1.8 billi…
A Feasibility study for Deep learning based automated brain tumor segmentation using Magnetic Resonance Images
Shanaka Ramesh Gunasekara, HNTK Kaldera, Maheshi B. Dissanayake
Deep learning algorithms have accounted for the rapid acceleration of research in artificial intelligence in medical image analysis, interpretation, and segmentation with many pote…
Sylvester Matrix Based Similarity Estimation Method for Automation of Defect Detection in Textile Fabrics
R. M. L. N. Kumari, G. A. C. T. Bandara, Maheshi B. Dissanayake
Fabric defect detection is a crucial quality control step in the textile manufacturing industry. In this article, machine vision system based on the Sylvester Matrix Based Similari…
Positioning of Multiple Unmanned Aerial Vehicle Base Stations in future Wireless Network
Thushan Sivalingam, K. B. Shashika Manosha, Nandana Rajatheva +2
Unmanned aerial vehicle (UAV) base stations (BSs) are reliable and efficient alternative to full fill the coverage and capacity requirements when the backbone network fails to prov…