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Deep Deconvolutional Neural Network for Target Segmentation of Nasopharyngeal Cancer in Planning Com
Deep Deconvolutional Neural Network for Target Segmentation of Nasopharyngeal Cancer in Planning Computed Tomography Images 深度反卷积神经网络在规划CT图像中的鼻咽癌目标分割 发表期刊：frontiers in Oncology 发表日期： 2017年 中科院SCI期刊分区：3区 大类学科：医学Fully-Automated Segmentation of Nasopharyngeal Carcinoma on Dual-Sequence MRI Using Convol
Fully-Automated Segmentation of Nasopharyngeal Carcinoma on Dual-Sequence MRI Using Convolutional Neural Networks Abstract 本文提出了一种基于卷积神经网络(CNN)的双序列磁共振成像(MRI)鼻咽癌自动分割方法。收集44例鼻咽癌患者的T1加权(T1W)和T2加权(T2W)MRI图像Combining Images and T-Staging Information to Improve Segmentation of Nasopharyngeal Carcinoma
《Combining Images and T-Staging Information to Improve the Automatic Segmentation of Nasopharyngeal Carcinoma Tumors in MR Images》 读书报告 Wxy 论文基本信息： Combining Images and T-Staging Information to Improve the Automatic Segmentation of Nasopha