Kidney disease detection and segmentation using artificial neural network and multi-kernel k-means clustering for ultrasound images

Volume: 149, Pages: 106952 - 106952
Published: Jan 1, 2020
Abstract
The main aim of this paper is to design and develop an approach for kidney disease detection and segmentation using a combination of clustering and classification approach. Nowadays, kidney stone detection and segmentation is one of the crucial procedures in surgical and treatment planning for ultrasound images. However, at present, kidney stone segmentation in ultrasound images is mostly performed manually in clinical practice. Apart from being...
Paper Details
Title
Kidney disease detection and segmentation using artificial neural network and multi-kernel k-means clustering for ultrasound images
Published Date
Jan 1, 2020
Volume
149
Pages
106952 - 106952
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