Development of a self-constrained 3D DenseNet model in automatic detection and segmentation of nasopharyngeal carcinoma using magnetic resonance images.
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DOI: 10.1016/j.oraloncology.2020.104862
Abstract: OBJECTIVES We aimed to develop a dual-task model to detect and segment nasopharyngeal carcinoma (NPC) automatically in magnetic resource images (MRI) based on deep learning method, since the differential diagnosis of NPC and atypical benign… read more here.
Keywords: segmentation; model; nasopharyngeal carcinoma; self constrained ... See more keywords