Application of breast cancer diagnosis based on a combination of convolutional neural networks, ridge regression and linear discriminant analysis using invasive breast cancer images processed with autoencoders

TOĞAÇAR MESUT, ERGEN BURHAN, CÖMERT ZAFER

Application of breast cancer diagnosis based on a combination of convolutional neural networks, ridge regression and linear discriminant analysis using invasive breast cancer images processed with autoencoders

YAYIN ID:

5507612

KAPSAM AD:

Uluslararası

HAKEM TUR AD:

Hakemli

ENDEKS:

SCI-Expanded

MAKALE ADI:

Application of breast cancer diagnosis based on a combination of convolutional neural networks, ridge regression and linear discriminant analysis using invasive breast cancer images processed with autoencoders

YAZAR ADI:

TOĞAÇAR MESUT, ERGEN BURHAN, CÖMERT ZAFER

DERGI ADI:

Medical Hypotheses

YAYIN DILI ADI:

İngilizce

AY:

YIL:

2020

CILT:

135

SAYI:

ILK SAYFA:

109503

SON SAYFA:

ISSN:

0306-9877

ERISIM TURU AD:

Elektronik

ALAN BILGISI:

Mühendislik Temel Alanı>Bilgisayar Bilimleri ve Mühendisliği>Yapay Zeka>Yapay Öğrenme>Karar Destek Sistemleri

YAZAR ID:

4195027

GUNCELLEME TARIHI:

2022-03-19 17:55:25

MAKALE TURU AD:

Özgün Makale

ERISIM LINKI:

http://dx.doi.org/10.1016/j.mehy.2019.109503