# Segmentation of medical images using an attention embedded lightweight network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/segmentation-of-medical-images-using-an-attention-embedded-lightweight-network/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Junde Chen,Weirong Chen,Adan Zeb,Defu Zhang |
| Citations | 37 |
| DOI | 10.1016/j.engappai.2022.105416 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4295337699 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Weirong Chen](https://scholariq.org/researchers/weirong-chen/)

## Paper journal

- [Engineering Applications of Artificial Intelligence](https://scholariq.org/journals/engineering-applications-of-artificial-intelligence/)

## 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/)
- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

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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.