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Feasibility of Three-Dimensional Deep Learning for Disease Differentiation of Solitary Pulmonary Nodules on Computed Tomography Scans

机译：三维深度学习对计算机断层扫描疫苗扫描孤立肺结核疾病分化的可行性

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J. Deng; Y. She; W. Zhou; Q. Lin; C. Chen;
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1. Diagnostic value of computed tomography scanning in differentiating malignant from benign solitary pulmonary nodules: a meta-analysis. [J] . Chuan-Yu Zhang, Hua-Long Yu, Xia Li, Tumour biology : . 2014,第9期

机译：计算机断层扫描在鉴别恶性和良性孤立性肺结节中的诊断价值：一项荟萃分析。
2. Solitary pulmonary nodule evaluation in regions endemic for infectious diseases: Do regional variations impact the effectiveness of fluorodeoxyglucose positron emission tomography/computed tomography [J] . Purandare N. C., Pramesh C. s, Agarwal J. P., Indian journal of cancer. . 2017,第1期

机译：孤独的肺结结在传染病的地方分娩：区域变异影响氟脱氧葡萄糖正电子发射断层扫描/计算机断层扫描的有效性
3. A Novel Algorithm for Segmentation of Solitary Pulmonary Nodules in Chest Computed Tomography Based on Three-Dimensional Connected Voxels [J] . Zhang Chence, Shen Yi, Kong Qian, Journal of Medical Imaging and Health Informatics . 2019,第8期

机译：基于三维连接血管凝胶的胸腔计算机断层扫描中孤立性肺结节分割的新算法
4. Pattern classification approach to characterizing solitary pulmonary nodules imaged on high-resolution computed tomography [C] . Author(s): Michael F. McNitt-Gray UCLA School of Medicine Los Angeles CA USA, Eric M. Hart M.D. UCLA School of Medicine Los Angeles CA USA, Jonathan Goldin UCLA School of Medicine Los Angeles CA USA, Medical Imaging 1996: Image Processing . 1996

机译：模式分类方法表征高分辨率计算机断层扫描成像的孤立性肺结节
5. Wavelet-based pulmonary nodules features characterization on computed tomography (CT) scans [D] . Osicka, Teresa 2008

机译：基于小波的肺结节在计算机断层扫描（CT）扫描中表征
6. Can spectral computed tomography imaging improve the differentiation between malignant and benign pulmonary lesions manifesting as solitary pure ground glass mixed ground glass and solid nodules? [O] . Mai‐Lin Chen, Xiao‐Ting Li, Yi‐Yuan Wei, 2019

机译：光谱计算机断层扫描成像能否改善恶性和良性肺部病变的区别这些病变表现为单纯的纯磨玻璃混合的磨玻璃和实性结节？
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Feasibility of Three-Dimensional Deep Learning for Disease Differentiation of Solitary Pulmonary Nodules on Computed Tomography Scans

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