Interactive contouring through contextual deep learning

Deep convolutional neural network for segmentation of thoracic organs‐at‐risk using cropped 3D images

(2019) Xue Feng et al.   MEDICAL PHYSICS

Applications and limitations of machine learning in radiation oncology

(2019) Daniel Jarrett et al.   BRITISH JOURNAL OF RADIOLOGY

Attention gated networks: Learning to leverage salient regions in medical images

(2019) Jo Schlemper et al.   MEDICAL IMAGE ANALYSIS

3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation

(2018) Qiao Zheng et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning

(2018) Guotai Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation

(2018) Guotai Wang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

PV-0531: Multi-centre evaluation of atlas-based and deep learning contouring using a modified Turing Test

(2018) M. Gooding et al.   RADIOTHERAPY AND ONCOLOGY

Clinical evaluation of atlas and deep learning based automatic contouring for lung cancer

(2018) Tim Lustberg et al.   RADIOTHERAPY AND ONCOLOGY

An overview of deep learning in medical imaging focusing on MRI

(2018) Alexander Selvikvåg Lundervold et al.   Zeitschrift fur Medizinische Physik

Deep Sequential Segmentation of Organs in Volumetric Medical Scans

(2018) Alexey A. Novikov et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

User Interaction in Semi-Automatic Segmentation of Organs at Risk: a Case Study in Radiotherapy

(2015) Anjana Ramkumar et al.   JOURNAL OF DIGITAL IMAGING