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Comparison of the automatic segmentation of multiple organs at risk in CT images of lung cancer between deep convolutional neural network-based and atlas-based techniques.

Acta oncologica (Stockholm, Sweden) 30398090
BACKGROUND: In this study, a deep convolutional neural network (CNN)-based automatic segmentation technique was applied to multiple organs at risk (OARs) depicted in computed tomography (CT) images of lung cancer patients, and the results were compar...
Anatomy, Artistic Atlases as Topic Esophagus Humans Image Processing, Computer-Assisted Lung Neoplasms Neural Networks, Computer Organs at Risk Pattern Recognition, Automated Radiography, Abdominal Radiography, Thoracic Radiotherapy Planning, Computer-Assisted Spine Tomography, X-Ray Computed Tumor Burden
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