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Automated Organ-Level Classification of Free-Text Pathology Reports to Support a Radiology Follow-up Tracking Engine
PURPOSE: To evaluate the performance of machine learning algorithms on organ-level classification of semistructured pathology reports, to incorporate surgical pathology monitoring into an automated imaging recommendation follow-up engine. MATERIALS AND METHODS: This retrospective study included 2013...
שמור ב:
| הוצא לאור ב: | Radiol Artif Intell |
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| Main Authors: | , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Radiological Society of North America
2019
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8017395/ https://ncbi.nlm.nih.gov/pubmed/33937800 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2019180052 |
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