# Attention Driven Swin UNet Framework for Accurate Brain Tumor Segmentation Across Multi Parametric MRI Modalities

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/attention-driven-swin-unet-framework-for-accurate-brain-tumor-segmentation/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rakeshnag Dasari,Malik Bader Alazzam,Al-Hussein Maysir Majid,Abdul Hameed Al-Shammari,Manivannan Govindasamy,Alamelu alias Rajasree. S |
| Citations | 0 |
| DOI | 10.1109/icaect68478.2026.11426090 |
| Fields | Computer Science,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W7135169583 |
| Type | conference-paper |
| Year | 2026 |

## Paper authors

- [Al-Hussein Maysir Majid](https://scholariq.org/researchers/al-hussein-maysir-majid/)

## 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 Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)

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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.