https://www.selleckchem.com/pr....oducts/slf1081851-hy
To develop a fully automated algorithm for spleen segmentation and to assess the performance of this algorithm in a large dataset. In this retrospective study, a three-dimensional deep learning network was developed to segment the spleen on thorax-abdomen CT scans. Scans were extracted from patients undergoing oncologic treatment from 2014 to 2017. A total of 1100 scans from 1100 patients were used in this study, and 400 were selected for development of the algorithm. For testing, a dataset of 50 scans was annotated to
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