# Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/radiomics-machine-learning-signature-for-diagnosis-of-hepatocellular-carcinoma/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Fatima‐Zohra Mokrane,Lin Lü,Adrien Vavasseur,Philippe Otal,Jean‐Marie Péron,Lyndon Luk,Hao Yang,Samy Ammari,Yvonne M. Saenger,Hervé Rousseau,Binsheng Zhao,Lawrence H. Schwartz,Laurent Dercle |
| Citations | 189 |
| DOI | 10.1007/s00330-019-06347-w |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2969969042 |
| PMID | 31444598 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Philippe Otal](https://scholariq.org/researchers/philippe-otal/)

## Paper journal

- [European Radiology](https://scholariq.org/journals/european-radiology/)

## 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/)

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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.