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Study on Creating A Classifier for Grading of Bladder Carcinoma Based on Computerized Method.
Hyun Ju Choi, Hye Kyoung Yoon, Heung Kook Choi
JPTM. 2002;36(3):154-162.

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Learnable image histograms-based deep radiomics for renal cell carcinoma grading and staging
Computerized Medical Imaging and Graphics. 2021;90:101924   Crossref logo
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Computational grading of hepatocellular carcinoma using multifractal feature description
Computerized Medical Imaging and Graphics. 2013;37(1):61-71   Crossref logo
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Editorial Comment
The Journal of Urology. 1996;98-99   Crossref logo

A computer-aided diagnostic system to discriminate SPIO-enhanced magnetic resonance hepatocellular carcinoma by a neural network classifier
Computerized Medical Imaging and Graphics. 2009;33(8):588-592   Crossref logo
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Attention guided discriminative feature learning and adaptive fusion for grading hepatocellular carcinoma with Contrast-enhanced MR
Computerized Medical Imaging and Graphics. 2022;97:102050   Crossref logo
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Evaluation of a neural network classifier for pancreatic masses based on CT findings
Computerized Medical Imaging and Graphics. 1997;21(3):175-183   Crossref logo
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Malignancy grading is no better than conventional histopathological grading in small squamous cell carcinoma of tongue and floor of mouth: retrospective study in 128 patients
Journal of Oral Pathology & Medicine. 2009;38(4):343-347   Crossref logo
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Computerized tomography in evaluation of transitional cell carcinoma in bladder diverticula
Urology. 1989;34(6):390-395   Crossref logo
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A simplified grading method of transitional cell carcinoma of the urinary bladder: reproducibility, clinical significance and comparison with other prognostic parameters
British Journal of Urology. 1994;73(6):625-631   Crossref logo
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Computerized Tomography Reveals Variable Aggressiveness of Transitional Cell Carcinoma of the Bladder and Bladder Diverticulum
Journal of Urology. 2010;183(3):1190-1190   Crossref logo
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