# RSDNet: Res-CBAM-enhanced integration of shallow and deep networks for ultra-high-resolution image segmentation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/rsdnet-res-cbam-enhanced-integration-of-shallow-and-deep-networks-for-ultra-high/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Kaifeng Chen,Xi Lin,Changshe Zhang,Yundong Wu |
| Citations | 1 |
| DOI | 10.1117/12.3029624 |
| Fields | Computer Science,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4399885420 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [Changshe Zhang](https://scholariq.org/researchers/changshe-zhang/)

## Paper primary topic

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

## Paper topics

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)
- [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.