Machine Learning Model for Chest Radiographs: Using Local Data to Enhance Performance.
Journal:
Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Published Date:
Dec 21, 2022
Abstract
PURPOSE: To develop and assess the performance of a machine learning model which screens chest radiographs for 14 labels, and to determine whether fine-tuning the model on local data improves its performance. Generalizability at different institutions has been an obstacle to machine learning model implementation. We hypothesized that the performance of a model trained on an open-source dataset will improve at our local institution after being fine-tuned on local data.