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Global Translational Medicine Deep learning by NMR-biochemical
A
B
Figure 12. (A) Segmentation of multiple sclerosis lesions is shown as trained data set with yellow color coding and magnetic resonance spectroscopy
peaks. (B) The semi‑supervised KNFST algorithm procedure is shown to select data samples (on the left panel) and accept the unlabeled data match with
[19]
confidence band conditions until all processed data are predicted (on the right panel). Modified from references .
Volume 2 Issue 3 (2023) 13 https://doi.org/10.36922/gtm.337

