Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence-Reference-Cited by-同舟云学术

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Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence

Published:2006-11 Issue:3 Volume:38 Page:291-303
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Tasoulis Dimitris K.,Spyridonos Panagiota,Pavlidis Nicos G.,Plagianakos Vassilis P.,Ravazoula Panagiota,Nikiforidis Georgios,Vrahatis Michael N.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference60 articles.

1. Tumor-associated trypsin inhibitor as a prognostic factor during follow-up of bladder cancer;Kelloniemi;Adult Urol,2003

2. The value of histopathological prognostic factors in superficial bladder cancer: Do we need more;Witjes;Urol Oncol,2000

3. Neural network analysis of clinicopathological and molecular markers in bladder cancer;Qureshi;J Urol,2000

4. The sensitivity of flow cytometry compared with conventional cytology in the detection of superficial bladder carcinoma;Badalament;Cancer,1987

5. Flow cytometry of low stage bladder tumors: correlation with cytologic and cystoscopic diagnosis;Devonec;Cancer,1982

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2. NON-INVASIVE APPROACH TO PREDICT THE CHOLESTEROL LEVEL IN BLOOD USING BIOIMPEDANCE AND NEURAL NETWORK TECHNIQUES;Biomedical Engineering: Applications, Basis and Communications;2013-12

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