https://www.selleckchem.com/products/zk53.html
Large lung nodules (≥15mm) have the highest risk of malignancy, and may exhibit important differences in phenotypic or clinical characteristics to their smaller counterparts. Existing risk models do not stratify large nodules well. We aimed to develop and validate an integrated segmentation and classification pipeline, incorporating deep-learning and traditional radiomics, to classify large lung nodules according to cancer risk. 502 patients from five U.K. centres were recruited to the large-nodule arm of the retrospective LIBRA study betw
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