Breast cancer classification using artificial neural network / Mohd Nazmi M.Jaliani

Breast cancer has become a major cause of death among women in developed countries. The most effective way to reduce breast cancer deaths is detect it earlier. However, earlier treatment requires the ability to detect breast cancer in early stages. Recently, several researchers have used statistical...

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Bibliographic Details
Main Author: M. Jaliani, Mohd Nazmi
Format: Thesis
Language:English
Published: 2009
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/79057/1/79057.pdf
https://ir.uitm.edu.my/id/eprint/79057/
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Summary:Breast cancer has become a major cause of death among women in developed countries. The most effective way to reduce breast cancer deaths is detect it earlier. However, earlier treatment requires the ability to detect breast cancer in early stages. Recently, several researchers have used statistical and artificial intelligence techniques to successfully predict breast cancer. Basically the objective of there prediction techniques is to assign patients to either a "benign''' group that does not have breast cancer or a "malignant" group that has strong evidence of having breast cancer.