# Deep Learning Framework for Alzheimer’s Disease Diagnosis via 3D-CNN and FSBi-LSTM

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-framework-for-alzheimer-s-disease-diagnosis-via-3d-cnn-and-fsbi/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Chiyu Feng,Ahmed Elazab,Peng Yang,Tianfu Wang,Feng Zhou,Huoyou Hu,Xiaohua Xiao,Baiying Lei |
| Citations | 281 |
| DOI | 10.1109/access.2019.2913847 |
| Fields | Computer Science,Engineering,Neuroscience |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/8600701/08703035.pdf |
| OpenAlex ID | https://openalex.org/W2942882625 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Xiaohua Xiao](https://scholariq.org/researchers/xiaohua-xiao/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## Paper primary topic

- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)

## Paper topics

- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Medical Imaging and Analysis](https://scholariq.org/topics/medical-imaging-and-analysis/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.