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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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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

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

Penerbit

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

Deskripsi Fisik

8p.

Bahasa

ISBN/ISSN

1412-1026

Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

breast neoplasms
ultrasonography

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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