Litcius/Paper detail

Development of a self-constrained 3D DenseNet model in automatic detection and segmentation of nasopharyngeal carcinoma using magnetic resonance images

Liang‐Ru Ke, Yishu Deng, Wei‐Xiong Xia, Meng‐Yun Qiang, Xi Chen, Kui‐Yuan Liu, Bingzhong Jing, Caisheng He, Chuanmiao Xie, Xiang Guo, Xing Lv, Chaofeng Li

2020Oral Oncology81 citationsDOI

Topics & Concepts

Nasopharyngeal carcinomaMagnetic resonance imagingSegmentationImage segmentationCarcinomaArtificial intelligenceComputer scienceRadiologyMedicineComputer visionPathologyRadiation therapyHead and Neck Cancer StudiesAdvanced Radiotherapy TechniquesRadiomics and Machine Learning in Medical Imaging
Development of a self-constrained 3D DenseNet model in automatic detection and segmentation of nasopharyngeal carcinoma using magnetic resonance images | Litcius