VLSI Implementation and Analysis of Kidney Stone Detection by Level Set Segmentation and ANN Classification

Author:

Viswanath K.,Gunasundari R.,Hussan Syed Aathif

Publisher

Elsevier BV

Subject

General Engineering

Reference32 articles.

1. Speckle Noise Reduction and Segmentation of Kidney Regions from Ultrasound Image”, 978-1-4799-0400-6/13;anzila Rahman,2013

2. Feature Extraction of Kidney Ultrasound Images based on Intensity Histogram and Gray Level Co-occurrence Matrix”;Wan Mahani,2012

3. Norihiro Koizumi, “Robust Kidney Stone Tracking for a Non-invasive Ultrasound Theragnostic System–Servoing Performance and Safety Enhancement”, 2011 IEEE International Conference on Robotics and Automation Shanghai International Conference Center May 9-13, 2011, Shanghai, China.

4. K.Viswanath and R. Gunasundari, “Kidney stone detection from ultrasound images by Level Set Segmentation and multilayer perceptron ANN”, Elsevier publisher, Proceedings of the international Conference on Communication and Comuting, IMCIET-ICCE-2014, pp.38-48, ISBN:978-93-5107-270-6

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Renal Anomalies through Ultrasound Imaging and Segmentation Techniques;2024 Tenth International Conference on Bio Signals, Images, and Instrumentation (ICBSII);2024-03-20

2. Design and Evaluation of a Deep Learning Aided Approach for Kidney Stone Detection in CT scan Images;2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC);2023-06-16

3. Early Kidney Stone Detection Among Patients Using a Deep Learning Model on an Image Dataset;International Conference on Innovative Computing and Communications;2023

4. A Method Noise-Based Convolutional Neural Network Technique for CT Image Denoising;Electronics;2022-10-29

5. Predicting outcomes in kidney stone endoscopic surgery by rotation forest algorithm;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2022-10-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3