# AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem?

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/abdomenct-1k-is-abdominal-organ-segmentation-a-solved-problem/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jun Ma,Yao Zhang,Song Gu,Cheng Zhu,Cheng Ge,Yichi Zhang,Xingle An,Congcong Wang,Qiyuan Wang,Xin Liu,Shucheng Cao,Qi Zhang,Shangqing Liu,Yunpeng Wang,Yuhui Li,Jian He,Xiaoping Yang |
| Citations | 409 |
| DOI | 10.1109/tpami.2021.3100536 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | http://hdl.handle.net/10754/665793 |
| OpenAlex ID | https://openalex.org/W3183302989 |
| PMID | 34314356 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Yichi Zhang](https://scholariq.org/researchers/yichi-zhang/)

## Paper primary topic

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

## Paper topics

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [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.