Deep Learning to Classify Intraductal Papillary Mucinous Neoplasms Using Magnetic Resonance Imaging.

Journal: Pancreas

Published Date: Jul 1, 2019

Abstract

OBJECTIVE: This study aimed to evaluate a deep learning protocol to identify neoplasia in intraductal papillary mucinous neoplasia (IPMN) in comparison to current radiographic criteria.

Authors

Juan E Corral
Sarfaraz Hussein

2 Department of Computer Science, Center for Research in Computer Vision, University of Central Florida (UCF) , Orlando, FL , USA.
Pujan Kandel
Candice W Bolan
Ulas Bagci

Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N Michigan Ave, Ste 1600, Chicago, IL 60611.
Michael B Wallace

Keywords

Aged Aged, 80 and over Deep Learning Female Gastroenterology Humans Magnetic Resonance Imaging Male Middle Aged Neural Networks, Computer Pancreatic Intraductal Neoplasms Practice Guidelines as Topic Reproducibility of Results ROC Curve

External Resources

View on PubMed Access via DOI PubMed (31210661)

Deep Learning to Classify Intraductal Papillary Mucinous Neoplasms Using Magnetic Resonance Imaging.

Abstract

Authors

Keywords

External Resources

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