A combined feature-vector based multiple instance learning convolutional neural network in breast cancer classification from histopathological images
Author:
Publisher
Elsevier BV
Subject
Health Informatics,Signal Processing,Biomedical Engineering
Reference24 articles.
1. Breast cancer classification from histopathological images with inception recurrent residual convolutional neural network;Alom;J. Digit. Imaging,2019
2. Breast cancer statistics, 2019;DeSantis;CA: Cancer J. Clin.,2019
3. Histopathological image analysis: A review;Gurcan;IEEE Rev. Biomed. Eng.,2009
4. Breast cancer characterization based on image classification of tissue sections visualized under low magnification;Loukas;Comput. Math. Methods Med.,2013
5. Computed-aided diagnosis (CAD) in the detection of breast cancer;Dromain;Eur. J. Radiol.,2013
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