Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images

Author:

Patro Kiran Kumar,Allam Jaya PrakashORCID,Neelapu Bala Chakravarthy,Tadeusiewicz Ryszard,Acharya U Rajendra,Hammad MohamedORCID,Yildirim Ozal,Pławiak PawełORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

1. Epidemiology of stone disease across the world;Sorokin;World J. Urol.,2017

2. Kidney stone disease: an update on current concepts;Alelign;Adv. Urol.,2018

3. An image preprocessing method for kidney stone segmentation in ct scan images;Thein,2018

4. A novel approach for brain tumour detection using deep learning based technique;Pedada;Biomed. Signal Process. Control,2023

5. An efficient optimized feature selection with machine learning approach for ecg biometric recognition;Patro;IETE J. Res.,2020

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