Deep learning beyond cats and dogs: recent advances in diagnosing breast cancer with deep neural networks

Deep Learning in Mammography

(2017) Anton S. Becker et al.   INVESTIGATIVE RADIOLOGY

Large scale deep learning for computer aided detection of mammographic lesions

(2017) Thijs Kooi et al.   MEDICAL IMAGE ANALYSIS

Using deep learning to segment breast and fibroglandular tissue in MRI volumes

(2017) Mehmet Ufuk Dalmış et al.   MEDICAL PHYSICS

Discriminating solitary cysts from soft tissue lesions in mammography using a pretrained deep convolutional neural network

(2017) Thijs Kooi et al.   MEDICAL PHYSICS

Breast tumor segmentation with prior knowledge learning

(2017) Xiaoming Xi et al.   NEUROCOMPUTING

Three-Class Mammogram Classification Based on Descriptive CNN Features

(2017) M. Mohsin Jadoon et al.   Biomed Research International

SVM and SVM Ensembles in Breast Cancer Prediction

(2017) Min-Wei Huang et al.   PLoS One

Predicting Breast Cancer Recurrence Using Machine Learning Techniques

(2016) Pedro Henriques Abreu et al.   ACM COMPUTING SURVEYS

Deep learning in bioinformatics

(2016) Seonwoo Min et al.   BRIEFINGS IN BIOINFORMATICS

Representation learning for mammography mass lesion classification with convolutional neural networks

(2016) John Arevalo et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography

(2016) Ravi K. Samala et al.   MEDICAL PHYSICS

Breast mass classification in digital mammography based on extreme learning machine

(2016) Weiying Xie et al.   NEUROCOMPUTING

A deep feature based framework for breast masses classification

(2016) Zhicheng Jiao et al.   NEUROCOMPUTING

Deep learning based classification of breast tumors with shear-wave elastography

(2016) Qi Zhang et al.   ULTRASONICS

Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans

(2016) Jie-Zhi Cheng et al.   Scientific Reports

Image based computer aided diagnosis system for cancer detection

(2015) Howard Lee et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

PET/MR in Breast Cancer

(2015) Claire Tabouret-Viaud et al.   SEMINARS IN NUCLEAR MEDICINE

Machine learning applications in cancer prognosis and prediction

(2015) Konstantina Kourou et al.   Computational and Structural Biotechnology Journal

Improved Differentiation of Benign and Malignant Breast Tumors with Multiparametric 18Fluorodeoxyglucose Positron Emission Tomography Magnetic Resonance Imaging: A Feasibility Study

(2014) K. Pinker et al.   CLINICAL CANCER RESEARCH

Medical Image Segmentation by Combining Graph Cuts and Oriented Active Appearance Models

(2012) Xinjian Chen et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Localized Detection and Classification of Abnormalities on FFDM and Tomosynthesis Examinations Rated Under an FROC Paradigm

(2011) David Gur et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Support vector machines combined with feature selection for breast cancer diagnosis

(2008) Mehmet Fatih Akay   EXPERT SYSTEMS WITH APPLICATIONS