Classify Parkinson Disease from MRI Sample Based on Hybrid Feature Extraction Method
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8937-9_27
Reference24 articles.
1. Mei J, Tremblay C, Stikov N, Desrosiers C, Frasnelli J (2021) Differentiation of Parkinson’s disease and non-Parkinsonian olfactory dysfunction with structural MRI data. In: Medical imaging 2021: computer-aided diagnosis (vol 11597). SPIE, pp 320–327
2. Basnin N, Nahar N, Anika FA, Hossain MS, Andersson K (2021) Deep learning approach to classify Parkinson’s disease from MRI samples. In: International conference on brain informatics. Springer, Cham, pp 536–547
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4. Siddiqui MF, Mujtaba G, Reza AW, Shuib L (2017) Multi-class disease classification in brain MRIs using a computer-aided diagnostic system. Symmetry 9(3):37
5. Ismael MR, Abdel-Qader I (2018) Brain tumor classification via statistical features and back-propagation neural network. In: 2018 IEEE international conference on electro/information technology (EIT). IEEE, pp 0252–0257
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