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Improvement of Features Extraction Process and Classification of Cervical Cancer for the NeuralPap System.

, , , and . KES, volume 60 of Procedia Computer Science, page 750-759. Elsevier, (2015)

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Semi-automated pseudo colour features extraction technique for cervical cancer's pap smear images., , and . Int. J. Knowl. Based Intell. Eng. Syst., 15 (3): 131-143 (2011)Evaluation of Morphological Features for Breast Cells Classification Using Neural Networks., , , and . Tools and Applications with Artificial Intelligence, volume 166 of Studies in Computational Intelligence, Springer, (2009)Colour Contrast Enhancement on Preselected Cervical Cell for ThinPrep® Images., , , and . IIH-MSP, page 209-212. IEEE Computer Society, (2007)Performance Comparison for MLP Networks Using Various Back Propagation Algorithms for Breast Cancer Diagnosis., , , and . KES (2), volume 3682 of Lecture Notes in Computer Science, page 123-130. Springer, (2005)Performance of neural network architectures: Cascaded MLP versus extreme learning machine on cervical cell image classification., , , , and . ISSPA, page 308-311. IEEE, (2010)Pseudo Color Features Extraction technique for cervical cancer of Pap smear images., , , and . ISDA, page 314-319. IEEE, (2010)Overlapping cells separation method for cervical cell images., , , and . ISDA, page 1218-1222. IEEE, (2010)An automated cervical pre-cancerous diagnostic system., , and . Artif. Intell. Medicine, 42 (1): 1-11 (2008)Improvement of Features Extraction Process and Classification of Cervical Cancer for the NeuralPap System., , , and . KES, volume 60 of Procedia Computer Science, page 750-759. Elsevier, (2015)