A Deep Learning Approach Based on CT Images for an Automatic Detection of Polycystic Kidney Disease
Author:
Affiliation:
1. Saveetha Institute of Medical and Technical Sciences,Saveetha School of Engineering,Department of Computer Science and Engineering,Chennai
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10128170/10128171/10128336.pdf?arnumber=10128336
Reference14 articles.
1. Kidney image classification using transfer learning with convolutional neural network
2. Kidney Tumor Detection and Classification Based on Deep Learning Approaches: A New Dataset in CT Scans
3. Computation of Total Kidney Volume from CT Images in Autosomal Dominant Polycystic Kidney Disease Using Multi-task 3D Convolutional Neural Networks
4. Automated renal segmentation in healthy and chronic kidney disease subjects using a convolutional neural network
5. Computer-aided diagnosis system for the classification of multi-class kidney abnormalities in the noisy ultrasound images
Cited by 8 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. Kidney Disease Classification and Diagnosis: A Comprehensive Review of Current AI Techniques;2024 4th International Conference on Emerging Smart Technologies and Applications (eSmarTA);2024-08-06
2. Revolutionizing Kidney Disease Diagnosis: A Comprehensive CNN-Based Framework for Multi-Class CT Classification;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28
3. VGGNet Integration for Kidney Tumor Classification;2024 12th International Electrical Engineering Congress (iEECON);2024-03-06
4. Application of visual transformer in renal image analysis;BioMedical Engineering OnLine;2024-03-05
5. Automatic Kidney Stone Detection using XResNet 152 Model for CT Images;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22
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