使用深度学习进行医学图像分析的系统文献综述

2020 IEEE Symposium on Industrial Electronics & Applications (ISIEA) Pub Date : 2020-07-01 DOI:10.1109/ISIEA49364.2020.9188131

Ricardo Buettner, Marcus Bilo, Nico Bay, Toni Zubac

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引用次数: 9

摘要

我们回顾了顶级期刊和会议上关于在现代医疗保健中使用深度学习进行医学图像分析的文献。结果表明，深度学习在识别、分类和分割不同类型的医学图像方面提供了独特的能力和突破，特别是与乳腺癌、肺癌和脑癌相关的图像。

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A Systematic Literature Review of Medical Image Analysis Using Deep Learning

We review literature in top journals and conferences on the usage of deep learning for medical image analysis in modern healthcare. As a result it is shown that deep learning offers unique capabilities and breakthroughs in identifying, classifying and segmenting different kinds of medical images, especially related to cancer in the breast, lung, and brain.

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来源期刊

2020 IEEE Symposium on Industrial Electronics & Applications (ISIEA)

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