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1 Ergebnisse
1
Ensemble Deep Learning Model to Predict Lymphovascular Inva..:
Jonghyun Lee
;
Seunghyun Cha
;
Jiwon Kim
...
https://www.mdpi.com/2072-6694/16/2/430. , 2024
Link:
https://doi.org/10.3390/cancers16020430
RT Journal T1
Ensemble Deep Learning Model to Predict Lymphovascular Invasion in Gastric Cancer
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:71f85f815cbe4b5aae85a7fd98bab950&Exemplar=1&LAN=DE A1 Jonghyun Lee A1 Seunghyun Cha A1 Jiwon Kim A1 Jung Joo Kim A1 Namkug Kim A1 Seong Gyu Jae Gal A1 Ju Han Kim A1 Jeong Hoon Lee A1 Yoo-Duk Choi A1 Sae-Ryung Kang A1 Ga-Young Song A1 Deok-Hwan Yang A1 Jae-Hyuk Lee A1 Kyung-Hwa Lee A1 Sangjeong Ahn A1 Kyoung Min Moon A1 Myung-Giun Noh PB MDPI AG YR 2024 K1 digital pathology K1 artificial intelligence K1 gastric cancer K1 lymphovascular invasion K1 Neoplasms. Tumors. Oncology. Including cancer and carcinogens K1 RC254-282 JF https://www.mdpi.com/2072-6694/16/2/430 LK http://dx.doi.org/https://doi.org/10.3390/cancers16020430 DO https://doi.org/10.3390/cancers16020430 SF ELIB - SuUB Bremen
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