1 citations · 2 across the 3 of their papers we have counts for
3 papers
STC-Net: Electroluminescence-Based Solar Cell Crack Segmentation for Power Loss Estimation
Shanaka Ramesh Gunasekara, Akila Eranda Devanarayana, Imasha Guruge +2
Accurate crack assessment in electroluminescence (EL) images is important for photovoltaic (PV) reliability analysis, yet existing segmentation methods often fail to capture the th…
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…
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…