Use of deep convolutional neural network-based features for detection of cardiac sarcoidosis from polar map

Conclusions: The classification performance of DCNN-based features outperformed the CoV-based classification performance. Experimental results suggested that DCNN-based high-dimensional features have a potential of semi-automated diagnosis of CS.
Source: Journal of Nuclear Medicine - Category: Nuclear Medicine Authors: Tags: Deep Learning In Molecular Imaging Studies Source Type: research