Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: a review.

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A deep learning framework for supporting the classification of breast lesions in ultrasound images (2017, background): “…Suk et al 2015, Li et al 2015) Although some previous works have explored deep learning methods to address the automatic classification of identified lesions in breast images (Jalalian et al 2013, Cheng et al 2016), most of them utilized a small dataset, which may require additional evaluation.”
Endowing a Content-Based Medical Image Retrieval System with Perceptual Similarity Using Ensemble Strategy (2016, background): “Moreover, differential diagnosis CAD (CADx) can classify malignant and benign lesions by adding a potential Bsecond opinion^ [5].”
Representation learning for mammography mass lesion classification with convolutional neural networks (2016, methodology): “However, only few works have explored deep learning ethods to address the automatic classification of identified esions in mammography images [17].”