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Image_7_Development and Validation of a Deep Learning Algor..:
Qingling Li
;
Yanhua Zhu
;
Minglin Chen
...
doi:10.3389/fmed.2021.758690.s008. , 2021
Link:
https://doi.org/10.3389/fmed.2021.758690.s008
RT Journal T1
Image_7_Development and Validation of a Deep Learning Algorithm to Automatic Detection of Pituitary Microadenoma From MRI.TIF
UL https://suche.suub.uni-bremen.de/peid=base-ftfrontimediafig:oai:figshare.com:article_17089793&Exemplar=1&LAN=DE A1 Qingling Li A1 Yanhua Zhu A1 Minglin Chen A1 Ruomi Guo A1 Qingyong Hu A1 Yaxin Lu A1 Zhenghui Deng A1 Songqing Deng A1 Tiecheng Zhang A1 Huiquan Wen A1 Rong Gao A1 Yuanpeng Nie A1 Haicheng Li A1 Jianning Chen A1 Guojun Shi A1 Jun Shen A1 Wai Wilson Cheung A1 Zifeng Liu A1 Yulan Guo A1 Yanming Chen YR 2021 K1 Dermatology K1 Emergency Medicine K1 Gastroenterology and Hepatology K1 Geriatrics and Gerontology K1 Intensive Care K1 Medical Genetics (excl. Cancer Genetics) K1 Nephrology and Urology K1 Nuclear Medicine K1 Orthopaedics K1 Otorhinolaryngology K1 Pathology (excl. Oral Pathology) K1 Radiology and Organ Imaging K1 Foetal Development and Medicine K1 Obstetrics and Gynaecology K1 Family Care K1 Primary Health Care K1 Medical and Health Sciences not elsewhere classified K1 pituitary microadenoma K1 magnetic resonance imaging K1 deep learning K1 algorithm K1 computer-aided diagnosis JF doi:10.3389/fmed.2021.758690.s008 LK http://dx.doi.org/https://doi.org/10.3389/fmed.2021.758690.s008 DO https://doi.org/10.3389/fmed.2021.758690.s008 SF ELIB - SuUB Bremen
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