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Deep learning prediction of motor performance in stroke individuals using neuroimaging data
(Elsevier Science Direct, 12/04/2023)
The degree of motor impairment and profile of recovery after stroke are difficult to predict for each individual. Measures obtained from clinical assessments, as well as neurophysiological and neuroimaging techniques have ...
MI-STEG: A Medical Image Steganalysis Framework Based on Ensemble Deep Learning
(Tech Science Press, 2023)
Medical image steganography aims to increase data security by concealing patient-personal information as well as diagnostic and therapeutic data in the spatial or frequency domain of radiological images. On the other hand, ...