# An AI Enabled Framework for MRI-based Data Analytics for Efficient Brain Stroke Detection

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-ai-enabled-framework-for-mri-based-data-analytics-for-efficient-brain-stroke/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Anitha Patil,S Govindaraj |
| Citations | 3 |
| DOI | 10.1109/accai58221.2023.10201136 |
| Fields | Computer Science,Engineering,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4385575075 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Anitha Patil](https://scholariq.org/researchers/anitha-patil/)

## 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/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [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.