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cs.CL2022
Supervised Machine Learning Algorithm for Detecting Consistency between Reported Findings and the Conclusions of Mammography Reports
Alexander Berdichevsky, Mor Peleg, Daniel L. Rubin
Objective. Mammography reports document the diagnosis of patients' conditions. However, many reports contain non-standard terms (non-BI-RADS descriptors) and incomplete statements,…
cs.CL2018
A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization
Imon Banerjee, Hailey H. Choi, Terry Desser +1
We propose a scalable computerized approach for large-scale inference of Liver Imaging Reporting and Data System (LI-RADS) final assessment categories in narrative ultrasound (US)…