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Mar, 2021
用于胸部 X 光分类的自监督深度卷积神经网络
Self-supervised deep convolutional neural network for chest X-ray classification
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Matej Gazda, Jakub Gazda, Jan Plavka, Peter Drotar
TL;DR
本研究提出了一种自监督深度神经网络，在未标记的胸部X射线数据集上进行预训练，并将学到的表示迁移到下游任务——呼吸系统疾病的分类。在四个公共数据集上获得了有竞争力的结果，而不需要大量标记的训练数据。
Abstract
chest radiography
is a relatively cheap, widely available medical procedure that conveys key information for making diagnostic decisions. Chest X-rays are almost always used in the diagnosis of
respiratory diseases
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