Deep Learning Assists in Detecting Malignant Lung Cancers (1 of 2) (IMAGE)
Caption
Images in 62-year-old man with primary adenocarcinoma. (a, b) Posteroanterior (PA) digital chest radiographs. (a) Without deep convolutional neural network (DCNN) software assistance, the three readers (readers 10, 11, and 12) interpreted this image as a normal chest radiograph. (b) According to the DCNN's suggestion (dotted circle), all readers were able to identify a true nodule (yellow circle). (c) Axial CT image obtained on the same day shows a 25-mm solid mass in the apical segment of the right upper lobe (arrow).
Credit
Radiological Society of North America
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May use with credit.
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