While multi-parametric magnetic resonance imaging (MRI) shows great promise in assisting with prostate cancer diagnosis and localization, subtle differences in appearance between cancer and normal tissue lead to many false positive and false negative interpretations by radiologists. We sought to automatically detect aggressive cancer (Gleason pattern 4) and indolent cancer (Gleason pattern 3) on a per-pixel basis on MRI to facilitate the targeting of aggressive cancer during biopsy.

中文翻译：

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通过磁共振成像自动检测侵袭性和惰性前列腺癌

虽然多参数磁共振成像 (MRI) 在协助前列腺癌诊断和定位方面显示出巨大的潜力，但癌症和正常组织之间的细微外观差异导致放射科医生对许多假阳性和假阴性的解释。我们试图在 MRI 上以每个像素为基础自动检测侵袭性癌症（格里森模式4）和惰性癌症（格里森模式 3），以促进活检期间侵袭性癌症的靶向。