# Lung and colon cancer detection from CT images using Deep Learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/lung-and-colon-cancer-detection-from-ct-images-using-deep-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Joseph Damilola Akinyemi,Akinkunle A. Akinola,O. O. Adekunle,Taiwo Adetiloye,Emmanuel Jesuyon Dansu |
| Citations | 11 |
| DOI | 10.22630/mgv.2023.32.1.5 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://mgv.sggw.edu.pl/article/download/4907/4502 |
| OpenAlex ID | https://openalex.org/W4385754188 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Joseph Damilola Akinyemi](https://scholariq.org/researchers/joseph-damilola-akinyemi/)

## Paper journal

- [Machine Graphics and Vision](https://scholariq.org/journals/machine-graphics-and-vision/)

## 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.