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1 Ergebnisse
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A Machine Learning‐Based Unenhanced Radiomics Approach to D..:
Liu, Yulu
;
Jia, Xiaoxuan
;
Zhao, Jiaqi
...
Journal of Magnetic Resonance Imaging. 60 (2023) 2 - p. 600-612 , 2023
Link:
https://doi.org/10.1002/jmri.29111
RT Journal T1 <Title>A Machine Learning‐Based Unenhanced Radiomics Approach to Distinguishing Between Benign and Malignant Breast Lesions Using T2‐Weighted and Diffusion‐Weighted MRI</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1002_jmri.29111&Exemplar=1&LAN=DE A1 Liu, Yulu A1 Jia, Xiaoxuan A1 Zhao, Jiaqi A1 Peng, Yuan A1 Yao, Xun A1 Hu, Xuege A1 Cui, Jingjing A1 Chen, Haoquan A1 Chen, Xiufeng A1 Wu, Jing A1 Hong, Nan A1 Wang, Shu A1 Wang, Yi PB Wiley YR 2023 SN 1053-1807 SN 1522-2586 JF Journal of Magnetic Resonance Imaging VO 60 IS 2 SP 600 OP 612 LK http://dx.doi.org/https://doi.org/10.1002/jmri.29111 DO https://doi.org/10.1002/jmri.29111 SF ELIB - SuUB Bremen
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