To measure the performance of the implemented models, a confusion matrix has been employed, considering the following classes for evaluation: The classification categories used for sample prediction can be summarized as follows: A true positive (TP) denotes a positive scan, with the model making an...
The presented dataset (Data Citation 1) could be used to improve methods for image reconstruction and image restoration with low SNR. Furthermore, pre-processing and segmentation procedures could be enhanced for high field strength and ultrahigh resolution data. It allows conducting studies to identify...
substance to a selected region in the patient using an MRI-compatible delivery cannula; obtaining MRI image data of the patient; automatically segmenting the MRI image data; and generating and displaying visualizations of the delivered substance registered to patient anatomical structure in near real-...
FeCo/graphitic-shell nanocrystals as advanced magnetic-resonance-imaging and near-infrared agents. Nat. Mater. 5, 971–976 (2006). Article ADS CAS Google Scholar Nie, X. et al. Magnetic-graphitic-nanocapsule templated diacetylene assembly and photopolymerization for sensing and multicoded anti-...
The SMC is a type of generalized logistic regression that may be used in many classes. It is a type of NN that is constructed in such a way that the activation function of the output layer guarantees that the outputs are in the range [0, 1] and always equal to one. The results of...