Kidney Stone Recognition and Extraction using Directional Emboss & SVM from Computed Tomography Images-Reference-Cited by-同舟云学术

Kidney Stone Recognition and Extraction using Directional Emboss & SVM from Computed Tomography Images

Published:2020-12-11 Issue: Volume: Page:
ISSN:
Container-title:2020 Third International Conference on Multimedia Processing, Communication & Information Technology (MPCIT)
language:
Short-container-title:

Author:

Soni Akanksha¹,Rai Avinash²

Affiliation:

1. Ph.D. Scholar, ECE, UIT, RGPV,Bhopal (M.P.),India

2. Assistant Professor, ECE, UIT, RGPV,Bhopal (M.P.),India

Publisher

IEEE

Link

Cited by 7 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. Transfer Learning Empowered Multi-Class Classification of Kidney Diseases: A Deep Learning Approach;2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT);2024-05-02

2. Kidney Tumor Detection Using Computed Tomography Scan Images Through CNN;2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT);2024-03-15

3. Automated Kidney Stone Detection using Deep Learning Technique;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

4. Kidney Localization and Stone Segmentation from a CT Scan Image;2023 7th International Conference On Computing, Communication, Control And Automation (ICCUBEA);2023-08-18

5. 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