Skip to content
Publish & Distribute
Publishing Solutions
Distribution Solutions
Library Services
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Journal Matcher
Blog
Contact
Search
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Applied Computer Systems
Volume 29 (2024): Issue 1 (June 2024)
Open Access
Deep Learning-Based Renal Stone Detection: A Comprehensive Study and Performance Analysis
Priyadharsini Ravisankar
Priyadharsini Ravisankar
Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering
Chennai, India
Orcid profile
Search for this author on
Sciendo
|
Google Scholar
Ravisankar, Priyadharsini
,
Varsha Balaji
Varsha Balaji
Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering
Chennai, India
Search for this author on
Sciendo
|
Google Scholar
Balaji, Varsha
and
Shahul Hameed T
Shahul Hameed T
Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering
Chennai, India
Search for this author on
Sciendo
|
Google Scholar
T, Shahul Hameed
Aug 15, 2024
Applied Computer Systems
Volume 29 (2024): Issue 1 (June 2024)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Download Cover
Published Online:
Aug 15, 2024
Page range:
112 - 116
Received:
Feb 06, 2024
Accepted:
Jul 29, 2024
DOI:
https://doi.org/10.2478/acss-2024-0014
Keywords
CT images
,
deep learning models
,
detection
,
renal stone
© 2024 Priyadharsini Ravisankar et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.