# An Analysis on Ensemble Learning Optimized Medical Image Classification With Deep Convolutional Neural Networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-analysis-on-ensemble-learning-optimized-medical-image-classification-with/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Dominik Müller,Iñaki Soto‐Rey,Frank Krämer |
| Citations | 124 |
| DOI | 10.1109/access.2022.3182399 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/6514899/09794729.pdf |
| OpenAlex ID | https://openalex.org/W4285273012 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Iñaki Soto‐Rey](https://scholariq.org/researchers/inaki-soto-rey/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## Paper primary topic

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

## Paper topics

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [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/)

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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.