Detection of Carcinoma with the Fuzzy ARTMAP NN

Author(s): Aires, R. | Ioshii, S.O. | Murshed, N. | de Carvalho, A.C. |

Year: 1998

Citation: Proceedings of the Second International Conference on Cognitive and Neural Systems, Boston University Press 1998.

Abstract: According to statistics from NIH (National Institute of Health), cervical cancer is the third most common reproductive tract malignancy (ranking behind endometrium and ovary cancers) with about 13000 new case seen annually in the U.S., and resulting in about 4500 deaths annually. However, data from NIH indicate that the incidence and mortality rates have decreased by 50% since 1947. This has been largely due to preventive test, called smear or Pap test. The objective of smear or Pap test is to detect early morphological cell changes called CIN (Cervical Intra-eptical Neoplasia) before they develop into cancer. This is commonly known as Cervical Screening. When morphological changes are detected, the patient is submitted to other test (Colposcopy, Cone Biopsy, or Large Loop Excision of the Transformation Zone) to confirm the existence of cervical cancer.

Topics: Machine Learning, Applications: Medical Diagnosis, Models: Fuzzy ARTMAP,

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