# Half-UNet: A Simplified U-Net Architecture for Medical Image Segmentation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/half-unet-a-simplified-u-net-architecture-for-medical-image-segmentation/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Haoran Lu,Yifei She,Jun Tie,Shengzhou Xu |
| Citations | 132 |
| DOI | 10.3389/fninf.2022.911679 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.frontiersin.org/articles/10.3389/fninf.2022.911679/pdf |
| OpenAlex ID | https://openalex.org/W4281988129 |
| PMID | 35756960 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Jun Tie](https://scholariq.org/researchers/jun-tie/)

## 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.