A SELF-ATTENTION-GUIDED 3D DEEP RESIDUAL NETWORK WITH BIG TRANSFER TO PREDICT LOCAL FAILURE IN BRAIN METASTASIS AFTER RADIOTHERAPY USING MULTI-CHANNEL MRI

A noticeable proportion of larger brain metastases (BMs) are not locally controlled after stereotactic radiotherapy, and it may take months before local progression is apparent on standard follow-up imaging.This work proposes and investigates new explainable deep-learning models to predict the radiotherapy outcome for BM.A novel self-attention-guid

Background.Tenosynovial giant cell tumor of diffuse type is one of the most widespread tumor of joints, causing destruction of the soft tissues and bone articular surfaces.Objective.The purpose of the study was to formulate approaches to histological differential diagnostics between diffuse-type giant cell tumor and its malignant forms.Methods.Tiss

Aiming at addressing the problem that the joints are easily destroyed by the impact torque during the process of space robot on-orbit capturing a non-cooperative spacecraft, a reinforcement learning control algorithm combined with a compliant mechanism is proposed to achieve buffer compliance control.The compliant mechanism can not only absorb the

The neuroanatomy of hadrosaurid dinosaurs is well known from North America and Asia.In Europe only a few cranial remains have been recovered that include the braincase.Arenysaurus is the first European endocast for which the paleoneuroanatomy has been studied.The resulting data have enabled us to draw ontogenetic, phylogenetic and functional infere