Open AccessIAC Yokohama Reporting of Breast Cytology to Assess Risk of Malignancy and Predictive Values
Author(s) -
Rashmi Aithmia,
Monika Pangotra,
Sanjib Kumar Sharma
Publication year - 2022
Publication title -
saudi journal of pathology and microbiology
Language(s) - English
Resource type - Journals
eISSN - 2518-3370
pISSN - 2518-3362
DOI - 10.36348/sjpm.2022.v07i07.003
Subject(s) - medicine , predictive value , malignancy , categorization , cytology , positive predicative value , predictive value of tests , concordance , radiology , pathology , artificial intelligence , computer science