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Improving the Accuracy of Airway Wall Measurements Using Deep Learning

Year: 2019

Type: conference-abstract

DOI: 10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a1118

Authors: P. Nardelli, A.A. Diaz, G.R. Washko, R. San Jose Estepar

Institutions: Brigham and Women's Hospital, Harvard University

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W2971227240

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