On the promise of artificial intelligence for standardizing radiographic response assessment in gliomas

Ellingson Benjamin M.

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On the promise of artificial intelligence for standardizing radiographic response assessment in gliomas

机译：关于人工智能有望实现胶质瘤放射线反应评估标准化的希望

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《Neuro-Oncology》 |2019年第11期|1346-1347|共2页
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Ellingson Benjamin M.;
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Univ Calif Los Angeles David Geffen Sch Med Dept Radiol Sci UCLA Brain Tumor Imaging Lab Ctr Comp Vis & Imagi Los Angeles CA 90095 USA;

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2. A deep-learning artificial intelligence system for assessment of root morphology of the mandibular first molar on panoramic radiography [J] . Hiraiwa Teruhiko, Ariji Yoshiko, Fukuda Motoki, DentoMaxilloFacial Radiology . 2019,第3期

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3. Prospective analysis of parametric response map-derived MRI biomarkers: identification of early and distinct glioma response patterns not predicted by standard radiographic assessment. [J] . Galban CJ, Chenevert TL, Meyer CR, Clinical cancer research: an official journal of the American Association for Cancer Research . 2011,第14期

机译：前瞻性分析参数反应图衍生的MRI生物标记物：识别早期和独特的神经胶质瘤反应模式，这是标准放射学评估无法预测的。
4. EAGOL: an artificial intelligence system for process monitoring, situation assessment and response planning [C] . Pople, H.E., Spangler, . 1994

机译：EAGOL：用于过程监控，情况评估和响应计划的人工智能系统
5. An artificial intelligence application of backpropagation neural networks to simulate accountants' assessments of internal control systems using COSO guidelines. [D] . O'Callaghan, Susanne. 1994

机译：反向传播神经网络在人工智能中的应用，可使用COSO准则模拟会计师对内部控制系统的评估。
6. On the promise of artificial intelligence for standardizing radiographic response assessment in gliomas [O] . Benjamin M Ellingson 2019

机译：论胶质瘤中标准化放射线响应评估的人工智能的承诺
7. Prospective analysis of parametric response map-derived MRI biomarkers: : identification of early and distinct glioma response patterns not predicted by standard radiographic assessment [O] . Galbán, Craig J, Chenevert, Thomas L, Meyer, Charles R, 2011

机译：参数反应图衍生的mRI生物标志物的前瞻性分析：：通过标准射线照相评估未预测的早期和不同神经胶质瘤反应模式的鉴定

On the promise of artificial intelligence for standardizing radiographic response assessment in gliomas

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