https://www.selleckchem.com/pr....oducts/CP-690550.htm
Machine learning can identify clinically node negative HNM patients at very low risk of nodal metastasis, who may not benefit from SLNB. Quantitative imaging studies of the pancreas have often targeted the three main anatomical segments, head, body, and tail, using manual region of interest strategies to assess geographic heterogeneity. Existing automated analyses have implemented whole-organ segmentation, providing overall quantification but failing to address spatial heterogeneity. To develop and validate an automated method for pan
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