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A new approach to prediction of radiotherapy of bladder cancer cells in small dataset analysis

  • Published:2011-07 Issue:7 Volume:38 Page:7963-7969
  • ISSN:0957-4174
  • Container-title:Expert Systems with Applications
  • language:en
  • Short-container-title:Expert Systems with Applications

Author:

Chao Gy-Yi,Tsai Tung-I,Lu Te-Jung,Hsu Hung-Chang,Bao Bo-Ying,Wu Wan-Yu,Lin Miao-Ting,Lu Te-Ling

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference23 articles.

1. What size network is good for generalization of a specific task of interest?;Amirakian;Neural Networks,1994

2. Computational learning theory;Anthony,1997

3. Epidermal growth factor receptor status predicts local response to radical radiotherapy in muscle-invasive bladder cancer;Colquhoun;Clinical Oncology (The Royal College of Radiologists),2006

4. An introduction to the bootstrap;Efron,1993

5. BCL-2, TP53 and BAX protein expression in superficial urothelial bladder carcinoma;Gonzalez-Campora;Cancer Letters,2007
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