# Multiscale lightweight 3D segmentation algorithm with attention mechanism: Brain tumor image segmentation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/multiscale-lightweight-3d-segmentation-algorithm-with-attention-mechanism-brain/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hengxin Liu,Guoqiang Huo,Qiang Li,Xin‐Yuan Guan,Ming‐Lang Tseng |
| Citations | 146 |
| DOI | 10.1016/j.eswa.2022.119166 |
| Fields | Computer Science,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4308491576 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Qiang Li](https://scholariq.org/researchers/qiang-li/)

## Paper journal

- [Expert Systems with Applications](https://scholariq.org/journals/expert-systems-with-applications/)

## 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.