Automated classification of urinary stones based on microcomputed tomography images using convolutional neural network-Reference-Cited by-同舟云学术

Automated classification of urinary stones based on microcomputed tomography images using convolutional neural network

Published:2020-10 Issue: Volume:78 Page:201-208
ISSN:1120-1797
Container-title:Physica Medica
language:en
Short-container-title:Physica Medica

Author:

Fitri Leni Aziyus^ORCID,Haryanto Freddy,Arimura Hidetaka,YunHao Cui,Ninomiya Kenta^ORCID,Nakano Risa,Haekal Mohammad^ORCID,Warty Yuni,Fauzi Umar

Funder

Kementerian Riset Teknologi Dan Pendidikan Tinggi Republik Indonesia

Publisher

Elsevier BV

Subject

General Physics and Astronomy,Radiology Nuclear Medicine and imaging,General Medicine,Biophysics

Reference40 articles.

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

2. Cook medical. World Kidney Day: A global look at a growing concern. https://www.cookmedical.com/urology/world-kidney-day-a-global-look-at-agrowing concern/; 2016 [accessed 17 January 2019].

3. Urinary stone detection on CT images using deep convolutional neural networks: evaluation of model performance and generalization;Parakh;Radiol Artif Intell,2019

4. Prevalence of kidney stones in the USA: the national health and nutrition evaluation survey;Chen;J Clin Urol,2019

5. The changing incidence and presentation of urinary stones over 3 decades;Kittanamongkolchai;Mayo Clin Proc,2018

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