Retraining an open-source pneumothorax detecting machine learning algorithm for improved performance to medical images.

Journal: Clinical imaging

Published Date: Jan 8, 2020

Abstract

PURPOSE: To validate a machine learning model trained on an open source dataset and subsequently optimize it to chest X-rays with large pneumothoraces from our institution.

Authors

Gene Kitamura

Department of Radiology, University of Pittsburgh Medical Center (UPMC), 200 Lothrop St., Pittsburgh, PA, 15213, USA. kitamurag@upmc.edu.
Christopher Deible

University of Pittsburgh Medical Center (UPMC) and University of Pittsburgh, UPMC Department of Radiology, 200 Lothrop St., Pittsburgh, PA 15213, USA. Electronic address: deiblec@upmc.edu.

Keywords

Algorithms Area Under Curve Deep Learning Humans Machine Learning Male Pneumothorax Radiography Retrospective Studies Sensitivity and Specificity

External Resources

View on PubMed Access via DOI PubMed (31954346)

Retraining an open-source pneumothorax detecting machine learning algorithm for improved performance to medical images.

Abstract

Authors

Keywords

External Resources

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