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首页> 外文期刊>Annals of oncology: official journal of the European Society for Medical Oncology >Man against machine reloaded: performance of a market-approved convolutional neural network in classifying a broad spectrum of skin lesions in comparison with 96 dermatologists working under less artificial conditions
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Man against machine reloaded: performance of a market-approved convolutional neural network in classifying a broad spectrum of skin lesions in comparison with 96 dermatologists working under less artificial conditions

机译:男子反对机器重新加载:市场批准的卷积神经网络在分类广谱皮肤病中的表现相比,与在不太人工条件下工作的96位

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摘要

Background: Convolutional neural networks (CNNs) efficiently differentiate skin lesions by image analysis. Studies comparing a market-approved CNN in a broad range of diagnoses to dermatologists working under less artificial conditions are lacking.
机译:背景:卷积神经网络(CNNS)通过图像分析有效地区分皮肤病变。 缺乏对广泛诊断的市场批准的CNN与在较少人工条件下工作的广泛诊断的研究。

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