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Dergiler / Istanbul University Journal of Electrical and Electronics Engineering / 2004 / Cilt: 4 - Sayı: 2

Breast cancer diagnosis using statistical neural networks

Tüba KIYAN
Sayfa
1149–1153
Yayın Tarihi
2022-10-18
DOI
—
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Statistical neural networks are used to increase the accuracy and objectivity of breast cancer diagnosis.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Breast cancer is the second largest cause of cancer deaths among women.
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Temel Bulgular & Veri:The performance of the statistical neural network structures, radial basis network (RBF), general regression neural network (GRNN) and probabilistic neural network (PNN) are examined on the Wisconsin breast cancer data (WBCD) in this paper.
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Sonuç & Katkı:Statistical neural networks are used to increase the accuracy and objectivity of breast cancer diagnosis.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

Breast cancer is the second largest cause of cancer deaths among women. The performance of the statistical neural network structures, radial basis network (RBF), general regression neural network (GRNN) and probabilistic neural network (PNN) are examined on the Wisconsin breast cancer data (WBCD) in this paper. This is a well-used database in machine learning, neural network and signal processing. Statistical neural networks are used to increase the accuracy and objectivity of breast cancer diagnosis.

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Bu Makaleye Atıf Yap

KIYAN, T. (2022). Breast cancer diagnosis using statistical neural networks. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 4 - Sayı: 2, 1149–1153. https://ajindex.com/articles/543864

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Kaynakça (1)

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