# PAIP 2019: Liver cancer segmentation challenge

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/paip-2019-liver-cancer-segmentation-challenge/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yoo Jung Kim,Hyungjoon Jang,Kyoungbun Lee,Seongkeun Park,Sung-Gyu Min,Choyeon Hong,Jeong Hwan Park,Kanggeun Lee,Jisoo Kim,Wonjae Hong,Hyun Jung,Yanling Liu,Haran Rajkumar,Mahendra Khened,Ganapathy Krishnamurthi,Sen Yang,Xiyue Wang,Chang Hee Han,Jin Tae Kwak,Jianqiang Ma,Zhe Tang,Bahram Marami,Jack Zeineh,Zixu Zhao,Pheng‐Ann Heng,Rüdiger Schmitz,Frederic Madesta,Thomas Rösch,René Werner,Jie Tian,Élodie Puybareau,Matteo Bovio,Xiufeng Zhang,Yifeng Zhu,Se Young Chun,Won‐Ki Jeong,Peom Park,Jinwook Choi |
| Citations | 123 |
| DOI | 10.1016/j.media.2020.101854 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://www.sciencedirect.com/science/article/pii/S1361841520302188/pdf |
| OpenAlex ID | https://openalex.org/W3092103057 |
| PMID | 33091742 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Sen Yang](https://scholariq.org/researchers/sen-yang/)

## Paper primary topic

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Paper topics

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

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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.