H
H. N. T. K. Kaldera
Researcher at University of Peradeniya
Publications - 4
Citations - 94
H. N. T. K. Kaldera is an academic researcher from University of Peradeniya. The author has contributed to research in topics: Image segmentation & Convolutional neural network. The author has an hindex of 3, co-authored 4 publications receiving 30 citations.
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Journal ArticleDOI
A Systematic Approach for MRI Brain Tumor Localization and Segmentation Using Deep Learning and Active Contouring.
TL;DR: In this paper, a threefold deep learning architecture is proposed for tumor extraction and segmentation of tumor boundaries correctly, which includes a deep convolutional neural network (CNN), a region-based CNN and a Chan-Vese segmentation algorithm.
Proceedings ArticleDOI
Brain tumor Classification and Segmentation using Faster R-CNN
TL;DR: A Convolutional Neural Network (CNN), for classification problem and Faster Region based convolutional neural network (Faster R-CNN) for segmentation problem with reduced number of computations with a higher accuracy level is proposed.
Proceedings ArticleDOI
MRI based Glioma segmentation using Deep Learning algorithms
TL;DR: A technique to segment the glioma cells in Magnetic Resonance Imaging (MRI) using faster Region based Convolutional Neural Network (R-CNN) and edge detection techniques in image processing algorithms and it is possible to achieve an average detection accuracy, sensitivity, Dice score and confidence level of 99.81%.
Posted Content
A Systematic Approach for MRI Brain Tumor Localization, and Segmentation using Deep Learning and Active Contouring
TL;DR: In this article, a threefold deep learning architecture is presented for tumor extraction and segmentation of tumor boundaries correctly, where first classifiers are implemented with a deep convolutional neural network(CNN) and second a region-based CNN is performed on the classified images to localize the tumor regions of interest.