A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets

Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

(2016) Hayit Greenspan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Breast Image Analysis for Risk Assessment, Detection, Diagnosis, and Treatment of Cancer

(2013) Maryellen L. Giger et al.   Annual Review of Biomedical Engineering

A review of optimization methodologies in support vector machines

(2011) John Shawe-Taylor et al.   NEUROCOMPUTING

Cancerous Breast Lesions on Dynamic Contrast-enhanced MR Images: Computerized Characterization for Image-based Prognostic Markers

(2010) Neha Bhooshan et al.   RADIOLOGY

Automated Method for Improving System Performance of Computer-Aided Diagnosis in Breast Ultrasound

(2009) K. Drukker et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Exploring nonlinear feature space dimension reduction and data representation in breast CADx with Laplacian eigenmaps and t-SNE

(2009) Andrew R. Jamieson et al.   MEDICAL PHYSICS

Evaluation of Computer-aided Diagnosis on a Large Clinical Full-field Digital Mammographic Dataset

(2008) Hui Li et al.   ACADEMIC RADIOLOGY