https://www.selleckchem.com/pr....oducts/pclx-001-ddd8
64 ± 0.06 and 0.68 ± 0.12, respectively. In the two-class classification by threshold image, recall and precision were over 0.8 in GOLD ≥ 1, and in the McNemar-Bowker test, there was some symmetry. The results suggest that the preprocessed threshold image can be possibly used as a screening tool for GOLD classification without pulmonary function tests, rather than inputting the normal image into the convolutional neural network (CNN) for CT image learning.Very-long-chain fatty acids (i.e., fatty acids with more than 18 carbon
Like
Comment
Share
