# Deep architectures for high-resolution multi-organ chest X-ray image segmentation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-architectures-for-high-resolution-multi-organ-chest-x-ray-image/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Óscar Gómez,Pablo Mesejo,Óscar Ibáñez,Andrea Valsecchi,Óscar Cordón |
| Citations | 43 |
| DOI | 10.1007/s00521-019-04532-y |
| Fields | Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://digibug.ugr.es/bitstream/10481/96710/1/DL_for_segmentation_2018.pdf |
| OpenAlex ID | https://openalex.org/W2981074595 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Óscar Gómez](https://scholariq.org/researchers/oscar-gomez/)

## 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/)
- [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/)

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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.