# Lung cancer histology classification from CT images based on radiomics and deep learning models

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/lung-cancer-histology-classification-from-ct-images-based-on-radiomics-and-deep/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Panagiotis Marentakis,P. Karaiskos,Vassilis Kouloulias,Nikolaos Kelekis,Stylianos Argentos,Nikolaos Oikonomopoulos,Constantinos Loukas |
| Citations | 135 |
| DOI | 10.1007/s11517-020-02302-w |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1007/s11517-020-02302-w |
| OpenAlex ID | https://openalex.org/W3119045898 |
| PMID | 33411267 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Constantinos Loukas](https://scholariq.org/researchers/constantinos-loukas/)

## Paper journal

- [Medical & Biological Engineering & Computing](https://scholariq.org/journals/medical-and-biological-engineering-and-computing/)

## 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 Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

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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.