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Recurrence analysis on prostate cancer patients with Gleason score 7 using integrated histopathology whole-slide images and genomic data through deep neural networks

机译：通过深神经网络使用综合组织病理学全幻影和基因组数据的综合组织病理学患者前列腺癌患者的再现分析

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Jian Ren; Kubra Karagoz; Michael L. Gatza; Eric A. Singer; Evita Sadimin; David J. Foran; Xin Qi;
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1. Preoperative neural network using combined magnetic resonance imaging variables, prostate-specific antigen, and gleason score for predicting prostate cancer biochemical recurrence after radical prostatectomy. [J] . Poulakis V, Witzsch U, de Vries R, Urology . 2004,第6期

机译：术前神经网络结合磁共振成像变量，前列腺特异性抗原和格里森评分，用于预测前列腺癌根治术后的前列腺癌生化复发。
2. Prostate Cancer Genomic Classifier Relates More Strongly to Gleason Grade Group Than Prostate Imaging Reporting and Data System Score in Multiparametric Prostate Magnetic Resonance Imaging-ultrasound Fusion Targeted Biopsies [J] . Martin Darryl T., Ghabili Kamyar, Levi Angelique, Urology . 2019,第期

机译：前列腺癌基因组分类器更强烈地涉及Gliason级组比前列腺成像报告和数据系统得分在多射周前列腺磁共振成像 - 超声融合靶向活组织检查中
3. Re: Prostate Cancer Genomic Classifier Relates More Strongly to Gleason Grade Group than Prostate Imaging Reporting and Data System Score in Multiparametric Prostate Magnetic Resonance Imaging-Ultrasound Fusion Targeted Biopsies [J] . Taneja Samir S. The Journal of Urology . 2019,第3期

机译：Re：前列腺癌基因组分类器比前列腺成像报告和数据系统得分更强烈地涉及Gliason级组，在多前列腺前列腺磁共振成像 - 超声融合靶向活组织检查中
4. Differentiation among prostate cancer patients with Gleason score of 7 using histopathology whole-slide image and genomic data [C] . Jian Ren, Kubra Karagoz, Michael Gatza, SPIE Medical Imaging Conference . 2018

机译：利用组织病理学全幻灯片图像和基因组数据区分Gleason评分为7的前列腺癌患者
5. Association Between Observed Gleason Scores and Molecular Phenotypes in Prostate Cancer Spatial Metabolomics Dataset [D] . Hart, Thomas. 2021

机译：观察到的Glason分数与前列腺癌空间代谢组织数据集之间的分子表型
6. Recurrence analysis on prostate cancer patients with Gleason score 7 using integrated histopathology whole-slide images and genomic data through deep neural networks [O] . Jian Ren, Kubra Karagoz, Michael L. Gatza, 2018

机译：使用整合的组织病理学全幻灯片图像和基因组数据通过深度神经网络对格里森评分为7的前列腺癌患者进行复发分析
7. High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection [O] . Angel Cruz-Roa, Hannah Gilmore, Ajay Basavanhally, 2018

机译：通过卷积神经网络的全载组织病理学图像分析（Hashi）的高通量适应性取样：应用于侵袭性乳腺癌检测

Recurrence analysis on prostate cancer patients with Gleason score 7 using integrated histopathology whole-slide images and genomic data through deep neural networks

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