Kidney Stone Detection Using Deep Learning and Transfer Learning
Author:
Affiliation:
1. R.M.K College of Engineering and Technology,Department of Electronics and Communication Engineering,Pudhuvoyal,Tamilnadu,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9985450/9985015/09985723.pdf?arnumber=9985723
Reference20 articles.
1. Design and Implementation of Ultrasonic Navigator for Visually Impaired;chandragiri;Middle East Journal of Scientific Research,2016
2. Generating diagnostic report for medical image by high-middle-level visual information incorporation on double deep learning models
3. Design of Deep Learning Algorithm for IoT Application by Image based Recognition;jacob;Journal of IS MAC,2021
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2. A Comparative Study of Feature Selection Methods for ML-Based Kidney Stone Prediction;2024 International Conference on Expert Clouds and Applications (ICOECA);2024-04-18
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