Automatic Detection and Classification of Focal Liver Lesions Based on Deep Convolutional Neural Networks: A Preliminary Study

Deep learning to distinguish benign from malignant renal lesions based on routine MR imaging

(2020) Ianto Lin Xi et al.   CLINICAL CANCER RESEARCH

Auto-segmentation of pancreatic tumor in multi-parametric MRI using deep convolutional neural networks

(2020) Ying Liang et al.   RADIOTHERAPY AND ONCOLOGY

Cancer statistics, 2019

(2019) Rebecca L. Siegel et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI

(2019) Charlie A. Hamm et al.   EUROPEAN RADIOLOGY

A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans

(2019) Onur Ozdemir et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Fully convolutional network and sparsity-based dictionary learning for liver lesion detection in CT examinations

(2018) Avi Ben-Cohen et al.   NEUROCOMPUTING

Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study

(2018) Koichiro Yasaka et al.   RADIOLOGY

Deep Learning to Distinguish Recalled but Benign Mammography Images in Breast Cancer Screening

(2018) Sarah S. Aboutalib et al.   CLINICAL CANCER RESEARCH

Automatic lung nodule detection using a 3D deep convolutional neural network combined with a multi-scale prediction strategy in chest CTs

(2018) Yu Gu et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Extending 2-D Convolutional Neural Networks to 3-D for Advancing Deep Learning Cancer Classification With Application to MRI Liver Tumor Differentiation

(2018) Eleftherios Trivizakis et al.   IEEE Journal of Biomedical and Health Informatics

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

The Effects of Changes in Utilization and Technological Advancements of Cross-Sectional Imaging on Radiologist Workload

(2015) Robert J. McDonald et al.   ACADEMIC RADIOLOGY

Global cancer statistics, 2012

(2015) Lindsey A. Torre et al.   CA-A CANCER JOURNAL FOR CLINICIANS

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Deep learning

(2015) Yann LeCun et al.   NATURE

3D Convolutional Neural Networks for Human Action Recognition

(2012) Shuiwang Ji et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE