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Deep learning-based automatic segmentation (DLAS) helps the reproducibility of radiomics features, but its effect on radiomics modeling is unknown. We therefore evaluated whether DLAS can robustly extract anatomical and physiological MRI features, thereby assisting in the accurate assessment of treatment response in glioblastoma patients. A DLAS model was trained on 238 glioblastomas and validated on an independent set of 98 pre- and 86 post-treatment glioblastomas from two tertiary hospitals. A total of 1618 radiomics features from con

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Age phrase is actually less common inside GC, is assigned to calm histology as well as existence of lymph node metastasis, and may be considered a sign associated with cancer progression along with worse prospects. Furthermore, maximum peritoneal recurrence was seen in ERa-positive sufferers.Age expression can be less common in GC, is owned by soften histology and existence of lymph node metastasis, and might be described as a sign in connection with cancer further advancement as well as worse analysis. Furthermore, a high