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Sensors (Basel, Switzerland). 2020 Sep 21;20(18):5411. doi: 10.3390/s20185411 Q23.52025

Radiomics for Gleason Score Detection through Deep Learning

通过深度学习进行Gleason评分检测的影像组学研究 翻译改进

Luca Brunese  1, Francesco Mercaldo  1  2, Alfonso Reginelli  3, Antonella Santone  1

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作者单位

  • 1 Department of Medicine and Health Sciences "Vincenzo Tiberio", University of Molise, 86100 Campobasso, Italy.
  • 2 Institute for Informatics and Telematics, National Research Council of Italy, 56121 Pisa, Italy.
  • 3 Department of Precision Medicine, University of Campania "Luigi Vanvitelli", 80100 Napoli, Italy.
  • DOI: 10.3390/s20185411 PMID: 32967291

    摘要 Ai翻译

    Prostate cancer is classified into different stages, each stage is related to a different Gleason score. The labeling of a diagnosed prostate cancer is a task usually performed by radiologists. In this paper we propose a deep architecture, based on several convolutional layers, aimed to automatically assign the Gleason score to Magnetic Resonance Imaging (MRI) under analysis. We exploit a set of 71 radiomic features belonging to five categories: First Orde... ...点击完成人机验证后继续浏览
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    期刊名:Sensors

    缩写:SENSORS-BASEL

    ISSN:N/A

    e-ISSN:1424-8220

    IF/分区:3.5/Q2

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