Intelligent Objective Osteon Segmentation Based on Deep Learning

Histology is key to understand physiology, development, growth and even reproduction of extinct animals.However, the identification and interpretation of certain structures, such as osteons, medullary bone (MB), and Lines of Arrested Growth (LAGs), are not only based on personal judgments, but also require considerable labor for subsequent analysis

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Development and Validation of Nomogram to Preoperatively Predict Intraoperative Cerebrospinal Fluid Leakage in Endoscopic Pituitary Surgery: A Retrospective Cohort Study

BackgroundPituitary adenomas (PAs) are the most common tumor of the sellar region.PA resection is the preferred treatment for patients with clear indications for surgery.Intraoperative cerebrospinal fluid (iCSF) leakage is a major complication of PA resection surgery.Risk factors for iCSF leakage have been studied previously, but a predictive nomog

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