Hybrid Neural Fuzzy Framework for Automated Detection and Classification of Kidney Stones from Ultrasound Images
Radha, Mahendran and Abhishek, P and Nagavalli, Vegesna and Swathy, K and Srinu, N and Bhimanand Pandurang, Gajbhare (2026) Hybrid Neural Fuzzy Framework for Automated Detection and Classification of Kidney Stones from Ultrasound Images. In: 2025 Tenth International Conference on Science Technology Engineering and Mathematics (ICONSTEM).
J69-Hybrid_Neural_Fuzzy_Framework_for_Automated_Detection_and_Classification_of_Kidney_Stones_from_Ultrasound_Images.pdf
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Abstract
Abstract- Low contrast and random noise in ultrasound images make it difficult to detect and classify kidney stones, which is a critical clinical diagnosis assignment. A Hybrid Neural–Fuzzy Framework for the automatic identification and categorisation of kidney stones is proposed in this research.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Bioinformatics > Bioinformatics |
| Domains: | Bioinformatics |
| Depositing User: | Mr IR Admin |
| Date Deposited: | 11 May 2026 09:06 |
| Last Modified: | 11 Jun 2026 08:19 |
| URI: | https://ir.vistas.ac.in/id/eprint/16424 |
