# Classification of Magnetic Resonance Images using Bag of Features for Detecting Dementia

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/classification-of-magnetic-resonance-images-using-bag-of-features-for-detecting/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Deepika Bansal,Kavita Khanna,Rita Chhikara,Rakesh Kumar Dua,Rajeev Malhotra |
| Citations | 23 |
| DOI | 10.1016/j.procs.2020.03.190 |
| Fields | Computer Science,Medicine,Neuroscience |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://www.sciencedirect.com/science/article/pii/S1877050920306554/pdf |
| OpenAlex ID | https://openalex.org/W3016652454 |
| Type | conference-paper |
| Year | 2020 |

## Paper authors

- [Rita Chhikara](https://scholariq.org/researchers/rita-chhikara/)

## Paper journal

- [Procedia Computer Science](https://scholariq.org/journals/procedia-computer-science/)

## 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/)
- [Face and Expression Recognition](https://scholariq.org/topics/face-and-expression-recognition/)
- [Traditional Chinese Medicine Studies](https://scholariq.org/topics/traditional-chinese-medicine-studies/)

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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.