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1 Ergebnisse
1
Development of U-Net Breast Density Segmentation Method for..:
Zhang, Yang
;
Chan, Siwa
;
Chen, Jeon-Hor
...
qt8348k569. , 2021
Link:
https://escholarship.org/uc/item/8348k569
RT Journal T1
Development of U-Net Breast Density Segmentation Method for Fat-Sat MR Images Using Transfer Learning Based on Non-Fat-Sat Model
UL https://suche.suub.uni-bremen.de/peid=base-ftcdlib:oai:escholarship.org:ark:_13030_qt8348k569&Exemplar=1&LAN=DE A1 Zhang, Yang A1 Chan, Siwa A1 Chen, Jeon-Hor A1 Chang, Kai-Ting A1 Lin, Chin-Yao A1 Pan, Huay-Ben A1 Lin, Wei-Ching A1 Kwong, Tiffany A1 Parajuli, Ritesh A1 Mehta, Rita S A1 Chien, Sou-Hsin A1 Su, Min-Ying PB eScholarship, University of California YR 2021 K1 Cancer K1 Breast Cancer K1 Biomedical Imaging K1 4.1 Discovery and preclinical testing of markers and technologies K1 Detection K1 screening and diagnosis K1 Breast K1 Breast Density K1 Humans K1 Image Processing K1 Computer-Assisted K1 Machine Learning K1 Magnetic Resonance Imaging K1 Breast segmentation K1 Deep learning K1 Fibroglandular tissue segmentation K1 Transfer learning K1 U-net K1 Clinical Sciences K1 Nuclear Medicine & Medical Imaging JF qt8348k569 LK http://dx.doi.org/https://escholarship.org/uc/item/8348k569 DO https://escholarship.org/uc/item/8348k569 SF ELIB - SuUB Bremen
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