Intellectual detection and validation of automated mammogram breast cancer images by multi-class SVM using deep learning classification
Author:
Publisher
Elsevier BV
Subject
Health Informatics
Reference32 articles.
1. Fully automatic and segmentation-robust classification of breast tumors based on local texture analysis of ultrasound images;Liu;Pattern Recogn,2010
2. Breast cancer facts & Figures,2018
3. A completely automated CAD system for mass detection in a large mammographic database;Bellotti;Med Phys,2006
4. Computer aided system for breast cancer diagnosis in ultrasound images;Noura;International Journal of Ecology of Health & Environment,2015
5. Computer-aided diagnosis for breast ultrasound using computerized BI-RADS features and machine learning methods;Shan;Ultrasound Med Biol,2015
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