Potential for computer-aided diagnosis using a convolutional neural network algorithm to diagnose fat-poor angiomyolipoma in enhanced computed tomography and T2-weighted magnetic resonance imaging
Author:
Affiliation:
1. Department of Urology; Tokyo Medical and Dental University Graduate School; Tokyo Japan
Publisher
Wiley
Subject
Urology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/iju.13784/fullpdf
Reference7 articles.
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2. Renal angiomyolipoma: a radiological classification and update on recent developments in diagnosis and management;Jinzaki;Abdom. Imaging,2014
3. Incidence of benign pathologic lesions at partial nephrectomy for presumed RCC renal masses: Japanese dual-center experience with 176 consecutive patients;Fujii;Urology,2008
4. Stepwise algorithm using computed tomography and magnetic resonance imaging for diagnosis of fat-poor angiomyolipoma in small renal masses: development and external validation;Tanaka;Int. J. Urol.,2017
5. Computer-aided diagnosis of prostate cancer on magnetic resonance imaging using a convolutional neural network algorithm;Ishioka;BJU Int.,2018
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