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Há 2 dias · 11 254 whole-slide images (WSIs) from 4037 patients were used to train deep learning models. Among the selected WSIs, cell level was manually annotated by cytopathologists according to The Bethesda System for Reporting Thyroid Cytopathology (TBSRTC) guidelines of the second edition (2017 version).
Há 5 dias · Cancer Cytopathology is an international cytopathology journal publishing research related to topics concerning the etiology of cancer, its diagnosis and prevention. Abstract Background Cell blocks (CBs) are widely used for biomarker analyses such as immunostaining.
Há 4 dias · Since 2010, the international Molecular Cytopathology Meeting provides a continu-ous educational effort to update cytopathologists on novel molecular targets and testing methodologies and to unravel the challenges of molecular testing on small tissue samples.
Há 3 dias · Key Takeaways From the Guideline. Use clinical examination and fine needle aspiration (FNA) for initial diagnosis. Confirm pathology and report using the Milan system. Use magnetic resonance imaging (MRI) when malignancy is suspected. Consider molecular testing and immunohistochemistry as appropriate. Surgery is the mainstay of primary treatment.
Há 2 dias · This study addresses the critical need for the accurate diagnosis and management of intraductal papillary mucinous neoplasms (IPMNs), which are pancreatic cystic neoplasm types holding a substantial potential for malignancy. It evaluates the diagnostic effectiveness of the Fukuoka consensus guidelines and the European evidence-based guidelines in detecting high-grade dysplasia/invasive ...
Há 4 dias · The Bethesda System for Reporting Thyroid Cytopathology (TBSRTC) provides a fundamental foundation for the diagnosis and categorization of FNAB cellular pathology. It categorizes thyroid fine needle aspiration (FNA) into six different classes, each associated with varying levels of risk for the presence of malignant tumors ( 10 , 11 ).
Há 2 dias · This paper provides a comprehensive analysis of linear regression models, focusing on addressing multicollinearity challenges in breast cancer patient data. Linear regression methodologies ...
