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Deteksi dan Klasifikasi Data Ultrasonografi Tumor Payudara dengan Menggunakan Adaptive Neuro Fuzzy Inference System (ANFIS)

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Abstract. It has been done to identify breast tumors with ultrasound data using the Adaptive Neuro Fuzzy Inference System (ANFIS). For the classification given pairs with Membership Functions Score (MFS) 0 - 0.1 for patient output tumor I cancer is very severe; MFS 0.11 - 0.2, for patient tumor / cancer is severe; MFS 0.21 - 0.4 for patient tumor / cancer is not severe, and MFS 0.4 -1 for healthy patients. Identification of ultrasound image data are made to both healthy patients and in patients who have the disorder, and gives the percentage of truth training data by 87%. Rule base is created by using an expert system (expert systems) with 8 rules and training data Fuzzy Inference System (FIS) were calculated using backpropagation. (JKS 2010:2:77-86)

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Series Title

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Call Number

JKS Jurnal Kedokter Syiah Kuala:10(2)2010:77-85

Publisher

Banda Aceh : FK Universitas Syiah Kuala Darussalam Banda Aceh., 2010

Collation

8p.

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ISBN/ISSN

1412-1026

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Subject(s)

breast neoplasms
ultrasonography

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