Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review
作者：
Highlights：
• Analysis the current research methodologies on deep learning and machine learning techniques.
• Provide the deep learning for breast cancer using various modalities of medical imaging.
• Provide the machine learning for breast cancer using various modalities of medical imaging.
• Illustrate the modalities of medical imaging used for classifying breast cancer.
• Present the datasets used in the classification models for medical images.
摘要
•Analysis the current research methodologies on deep learning and machine learning techniques.•Provide the deep learning for breast cancer using various modalities of medical imaging.•Provide the machine learning for breast cancer using various modalities of medical imaging.•Illustrate the modalities of medical imaging used for classifying breast cancer.•Present the datasets used in the classification models for medical images.
论文关键词：Breast cancer classification,Convolutional neural network,Computer-aided diagnosis system (CAD),Deep learning,Histological images,Machine learning,Magnetic resonance imaging (MRI),Medical imaging modalities,Mammogram images,Ultrasound images,Thermography images
论文评审过程：Received 26 April 2020, Revised 4 July 2020, Accepted 23 October 2020, Available online 27 October 2020, Version of Record 10 February 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.114161
