# Diagnosis of hepatocellular carcinoma using deep network with multi-view enhanced patterns mined in contrast-enhanced ultrasound data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/diagnosis-of-hepatocellular-carcinoma-using-deep-network-with-multi-view/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Xiangfei Feng,Wenjia Cai,Rongqin Zheng,Lina Tang,Jianhua Zhou,Hui Wang,Jintang Liao,Baoming Luo,Wen Cheng,Wei An,Weian Zhao,Xiang Jing,Ping Liang,Jie Yu,Qinghua Huang |
| Citations | 32 |
| DOI | 10.1016/j.engappai.2022.105635 |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4310370048 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Wenjia Cai](https://scholariq.org/researchers/wenjia-cai/)

## Paper journal

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

## Paper primary topic

- [Hepatocellular Carcinoma Treatment and Prognosis](https://scholariq.org/topics/hepatocellular-carcinoma-treatment-and-prognosis/)

## Paper topics

- [Hepatocellular Carcinoma Treatment and Prognosis](https://scholariq.org/topics/hepatocellular-carcinoma-treatment-and-prognosis/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Liver Disease Diagnosis and Treatment](https://scholariq.org/topics/liver-disease-diagnosis-and-treatment/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.