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T-staging pulmonary oncology from radiological reports using natural language processing: translating into a multi-language setting
2021
Insights into Imaging
Background In the era of datafication, it is important that medical data are accurate and structured for multiple applications. Especially data for oncological staging need to be accurate to stage and treat a patient, as well as population-level surveillance and outcome assessment. To support data extraction from free-text radiological reports, Dutch natural language processing (NLP) algorithm was built to quantify T-stage of pulmonary tumors according to the tumor node metastasis (TNM)
doi:10.1186/s13244-021-01018-1
pmid:34114076
fatcat:zigrtbpf4vgflmgwtgaerrwk7e