Table 1 List of research works with different models and various data sets used
From: Early prediction of Alzheimer's disease using convolutional neural network: a review
Research Studies | Model | Data set |
|---|---|---|
Atif Mehmood and colleagues and colleagues (2021) | The Convolutional Neural Network of multi-layer | Data sets from Alzheimer's Disease Neuroimaging Initiative (ADNI) database |
Modupe Odusami and colleagues (2021) | 18-layered Convolutional Neural Network | Data sets from ADNI |
Janani Venugopalan and colleagues (2021) | 3D Convolutional Neural Network | Data sets from ADNI |
Amnaya Pradhan and colleagues (2021) | DenseNet169, VGG19 | Kaggle data set |
Aakash Shah and colleagues (2020) | SVM Classifiers based on voting Xboost Random forest classifier | Data collection is done yearwise |
Huanhuan Ji and colleagues (2019) | ConvNet | Data sets from ADNI |
Firouzeh Razavi and colleagues (2019) | Softmax Regression | Data sets from ADNI |
Jyoti Islam and colleagues (2018) | Deep CNN | Data sets from ADNI |
Jyoti Islam and colleagues (2018) | 3D CNN | Data sets from ADNI |
Priyanka Thakare and colleagues (2016) | SVM | Smt. Kashibai Navale Medical Hospital Pune |