Automatic Annotation Tool to Support Supervised Machine Learning for Scaphoid Fracture Detection.

Automatic Annotation Tool to Support Supervised Machine Learning for Scaphoid Fracture Detection. Stud Health Technol Inform. 2018;255:210-214 Authors: Foufi V, Lanteri S, Gaudet-Blavignac C, Remy P, Montet X, Lovis C Abstract The aim of this work is to develop and validate an automatic annotation tool for the detection and bone localization of scaphoid fractures in radiology reports. To achieve this goal, a rule-based method using a Natural Language Processing (NLP) tool was applied. Finite state automata were constructed to detect, classify and annotate reports. An evaluation of the method on a manually annotated dataset has shown 96,8% of total match. PMID: 30306938 [PubMed - in process]
Source: Studies in Health Technology and Informatics - Category: Information Technology Tags: Stud Health Technol Inform Source Type: research