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1 Ergebnisse
1
Deep Learning Using Multiple Degrees of Maximum-Intensity P..:
Kanae Takahashi
;
Tomoyuki Fujioka
;
Jun Oyama
...
https://www.mdpi.com/2379-139X/8/1/11. , 2022
Link:
https://doi.org/10.3390/tomography8010011
RT Journal T1
Deep Learning Using Multiple Degrees of Maximum-Intensity Projection for PET/CT Image Classification in Breast Cancer
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:dc9813a4c285405695fa820ed2b482d1&Exemplar=1&LAN=DE A1 Kanae Takahashi A1 Tomoyuki Fujioka A1 Jun Oyama A1 Mio Mori A1 Emi Yamaga A1 Yuka Yashima A1 Tomoki Imokawa A1 Atsushi Hayashi A1 Yu Kujiraoka A1 Junichi Tsuchiya A1 Goshi Oda A1 Tsuyoshi Nakagawa A1 Ukihide Tateishi PB MDPI AG YR 2022 K1 breast cancer K1 PET K1 image classification K1 deep learning K1 convolutional neural network K1 Computer applications to medicine. Medical informatics K1 R858-859.7 JF https://www.mdpi.com/2379-139X/8/1/11 LK http://dx.doi.org/https://doi.org/10.3390/tomography8010011 DO https://doi.org/10.3390/tomography8010011 SF ELIB - SuUB Bremen
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