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: Shiiba, T., Takaki, A. Tags: Data Sciences Posters Source Type: research
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