# Deep Learning for Alzheimer’s Disease Classification using Texture Features

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-for-alzheimer-s-disease-classification-using-texture-features/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jae-Hong So,Nuwan Madusanka,Heung‐Kook Choi,Boo-Kyeong Choi,Hyeon‐Gyun Park |
| Citations | 32 |
| DOI | 10.2174/1573405615666190404163233 |
| Fields | Medicine,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2926304847 |
| PMID | 32008517 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Nuwan Madusanka](https://scholariq.org/researchers/nuwan-madusanka/)

## Paper primary topic

- [Dementia and Cognitive Impairment Research](https://scholariq.org/topics/dementia-and-cognitive-impairment-research/)

## Paper topics

- [Dementia and Cognitive Impairment Research](https://scholariq.org/topics/dementia-and-cognitive-impairment-research/)
- [Alzheimer's disease research and treatments](https://scholariq.org/topics/alzheimer-s-disease-research-and-treatments/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)

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