Comparison of diagnostic performance of deep convolutional neural network using fine-tuning and feature extraction on dopamine transporter single photon emission tomography images

Conclusions: This study demonstrated that the classification performance of FT and FE for diagnosis of PD and NC. FT indicated more accurate diagnostic performance than that of FE. Therefore, FT has a high potential to construct automatic diagnosis system for 123-I FP-CIT dopamine transporter SPECT images.
Source: Journal of Nuclear Medicine - Category: Nuclear Medicine Authors: Tags: Data Sciences Posters Source Type: research