A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Technique

A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Technique

Breast cancer (BC) is one of the primary causes of cancer death among women. Early detection of BC allows patients to receive appropriate treatment, thus increasing the possibility of survival. In this work, a new deep-learning (DL) model based on the transfer-learning (TL) technique is developed to...

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Bibliographic Details
Main Authors: Abeer Saber, Mohamed Sakr, Osama M. Abo-Seida, Arabi Keshk, Huiling Chen
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Breast cancer
machine learning
deep-learning
transfer learning
image classification
convolutional neural networks
Online Access:https://ieeexplore.ieee.org/document/9427477/

Internet

https://ieeexplore.ieee.org/document/9427477/

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