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iScience. 2023 Oct 23;26(11):108326. doi: 10.1016/j.isci.2023.108326 Q14.12025

Deep learning on longitudinal CT scans: automated prediction of treatment outcomes in hospitalized tuberculosis patients

基于纵向CT图像的深度学习：自动化预测住院结核病患者治疗效果 翻译改进

Mayidili Nijiati  1, Lin Guo  2, Abudouresuli Tuersun  1, Maihemitijiang Damola  1, Abudoukeyoumujiang Abulizi  1, Jiake Dong  1, Li Xia  2, Kunlei Hong  2, Xiaoguang Zou  3

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作者单位

  • 1 Department of Radiology, The First People's Hospital of Kashi Prefecture, Kashi, China.
  • 2 Shenzhen Zhiying Medical Imaging, Shenzhen, China.
  • 3 Clinical Medical Research Center, The First People's Hospital of Kashi Prefecture, Kashi, China.

    • DOI: 10.1016/j.isci.2023.108326 PMID: 37965132

    摘要 Ai翻译

    Three deep learning (DL)-based prediction models (PMs) using longitudinal CT images were developed to predict tuberculosis (TB) treatment outcomes. The internal dataset consists of 493 bacteriologically confirmed TB patients who completed the anti-tuberculosis treatment with three-time CT scans, including a pretreatment CT scan and two follow-up CT scans. PM1 was trained using only pretreatment CT scans, and PM2 and PM3 were developed by adding follow-up s... ...点击完成人机验证后继续浏览
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    期刊名：Iscience

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    ISSN：N/A

    e-ISSN：2589-0042

    IF/分区：4.1/Q1

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    Deep learning on longitudinal CT scans: automated prediction of treatment outcomes in hospitalized tuberculosis patients