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Updated: Jun 11, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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低风险和高风险胸膜瘤之间的差异诊断:用深度学习模型和没有深度学习模型的放射科医生的诊断性能比较

Yuriko Yoshida1, Masahiro Yanagawa1, Yukihisa Sato2

  • 1Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Osaksa, Japan.

Acta radiologica open
|October 9, 2024
PubMed
概括

这项研究开发了一种深度学习 (DL) 模型,用于使用CT扫描对胸腺瘤风险进行分类. 虽然DL模型提高了诊断准确度,但它并没有显著提高放射科医生的表现.

关键词:
在CT成像中使用CT成像.深度学习是一种深度学习.在中和中.放射学 放射学是指放射学风险分类风险分类 风险分类蒂莫莫马马 (thymomaoma) 是一种疾病.

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相关概念视频

Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
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