Titlebook: Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis; MICCAI 2021 Challeng Marc Aubreville,David Zimmerer,

BET

Svitlana Matviyenko,Judith Roofial information of the third dimension from volumetric image data. The proposed approach was tested in the 2021 MICCAI MOOD challenge, and it ranked the first place in both sample-level and pixel-level tasks.

conscience

Metamorphosis

勾引

愉快吗

Asseverate

SS3D: Unsupervised Out-of-Distribution Detection and Localization for Medical Volumesance among the slices that contain it. On the sample-level task of the 2021 MICCAI Medical Out-of-Distribution Analysis Challenge [.], our method ranked second on the challenging abdominal dataset, and fourth overall. Moreover, we show that with pretrained features and the right choice of architecture, a further boost in performance can be gained.

哑巴

合并

古文字学

Decongestant