DeepKidney: Multiclass Classification of Kidney Stones, Cysts, Tumors, and Normal Cases Using Convolutional Neural Networks
Author:
Affiliation:
1. CMR Institute of Technology,Dept. of CSE,Bengaluru,India
2. GITAM University,Dept. of CSE,Bengaluru,India
3. Thakur College of Engineering & Technology,Dept. of CSE,Mumbai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10430413/10430493/10431043.pdf?arnumber=10431043
Reference13 articles.
1. Chronic kidney disease: global dimension and perspectives
2. Predictive Machine Learning Approaches for Chronic Kidney Disease
3. Detection and diagnosis of chronic kidney disease using deep learning-based heterogeneous modified artificial neural network
4. Kidney disease detection and segmentation using artificial neural network and multi-kernel k-means clustering for ultrasound images
5. MULTICLASS CLASSIFICATION OF KIDNEY STONE,CYST, TUMOR AND NORMAL USING DEEP LEARNING;Sameeksha;Journal of Emerging Technologies and Innovative Research (JETIR,2023
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1. Enhancing Kidney Stone Diagnosis: A Fusion Approach of FCM and CNN for Precise Detection;2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2024-04-26
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