# Identifying relationships between imaging phenotypes and lung cancer-related mutation status: EGFR and KRAS

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/identifying-relationships-between-imaging-phenotypes-and-lung-cancer-related/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Gil Pinheiro,Tânia Pereira,Catarina Dias,Cláudia Freitas,Venceslau Hespanhol,José Luís Costa,A. Cunha,Hélder P. Oliveira |
| Citations | 59 |
| DOI | 10.1038/s41598-020-60202-3 |
| Fields | Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41598-020-60202-3.pdf |
| OpenAlex ID | https://openalex.org/W3009259752 |
| PMID | 32107398 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Venceslau Hespanhol](https://scholariq.org/researchers/venceslau-hespanhol/)

## Paper journal

- [Scientific Reports](https://scholariq.org/journals/scientific-reports/)

## Paper primary topic

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Paper topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Lung Cancer Treatments and Mutations](https://scholariq.org/topics/lung-cancer-treatments-and-mutations/)
- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-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.