Journal of Cytology & Histology

Mohamed Chebil

Publications

• Research Article
  Prognostic Value of Artificial Neural Network in Predicting Bladder Cancer Recurrence after BCG Immunotherapy
  Author(s): Faouzia Ajili, Ben Mhamed Issam, Saber Abid, Amine Darouiche, Mohamed Chebil and Samir BoubakerFaouzia Ajili, Ben Mhamed Issam, Saber Abid, Amine Darouiche, Mohamed Chebil and Samir Boubaker
  
  Background: Artificial neural network (ANN) has been used in medicine to predict either the treatment or the investigative outcomes. The aim of this study was to validate the use of ANN models for predicting recurrence in non muscle invasive bladder cancer (NMIBC) treated by Bacillus Calmette Guerin (BCG) immunotherapy. Materials and Methods: In this study, we developed a Multilayer Percepteron (MLP) based ANN to detect recurrence in NMIBC through the analysis of histopathologic data. The study includes 308 patients (mean age, 63.92 years; range, 31-92 years) who were treated with transurethral resection followed by BCG-immunotherapy. Time follow-up was 30 months. Results: In the test group, 39 out of 40 cases were correctly classified by the MLP base neural network with an optimum Mse error (0.02634). Only one case was.. Read More»
  DOI: 10.4172/2157-7099.1000226

  Abstract PDF