Deep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: Preliminary data
Version 2 2024-06-05, 00:41
Version 1 2022-09-28, 06:06
conference contribution
posted on 2024-06-05, 00:41 authored by Z Zhu, M Harowicz, Jun Zhang, A Saha, LJ Grimm, S Hwang, MA MazurowskiDeep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: Preliminary data
History
Volume
10575Pagination
1-7Location
Houston, TXPublisher DOI
Start date
2018-02-12End date
2018-02-15ISSN
1605-7422eISSN
1996-756XISBN-13
9781510616394Language
engPublication classification
E1.1 Full written paper - refereedEditor/Contributor(s)
Petrick N, Mori KTitle of proceedings
SPIE Medical Imaging 2018 : Computer-Aided Diagnosis : Proceedings of Society of Photo-Optical Instrumentation Engineers 2018 conferenceEvent
Society of Photo-Optical Instrumentation Engineers. Conference. (2018 : Houston, Texas)Publisher
Society of Photo-Optical Instrumentation Engineers (SPIE)Place of publication
Bellingham, WA USASeries
SPIE Medical imagingUsage metrics
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