Table 3 List of accuracies obtained for the related research studies
From: Early prediction of Alzheimer's disease using convolutional neural network: a review
Research studies | Model used | Accuracy obtained in % |
|---|---|---|
Atif Mehmood and colleagues (2021) | The Convolutional Neural Network of multi-layer | 80 |
Modupe Odusami and colleagues (2021) | 18-layered Convolutional Neural Network | 98 |
JananiVenugopalan and colleagues (2021) | 3D Convolutional Neural Network | 88 |
Amnaya Pradhan and colleagues (2021) | DenseNet169 | 87 |
| Â | VGG19 | 88 |
Aakash Shah and colleagues (2020) | SVM | 81 |
| Â | 86 | 86 |
| Â | Decision tree | 79 |
| Â | Xboost | 80 |
| Â | Random forest classifier | 81 |
Huanhuan Ji and colleagues (2019) | Convnet | 97.65 |
Firouzeh Razavi and colleagues (2019) | Softmax regression | 94.5 |
Jyoti Islam and colleagues (2018) | Deep CNN | 82 |
Jyoti Islam and colleagues (2019) | 3D Convolutional neural network | 88.76 |
Priyanka Thakare and colleagues (2016) | SVM | 95 |