A lightweight ShuffleNetV2 model distinguished active from non-active pulmonary tuberculosis on chest radiographs with a prospective AUC of 0.896 and improved radiologist performance when used for ...
A hybrid deep learning framework that combines unsupervised feature extraction with supervised regression outperformed a ...
A deep learning algorithm analyzing one fundus photograph can predict progression to moderate or high myopia, according to a study presented at the annual meeting of the American Academy of ...
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