# A Machine Learning Approach to Diagnosing Lung and Colon Cancer Using a Deep Learning-Based Classification Framework

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-machine-learning-approach-to-diagnosing-lung-and-colon-cancer-using-a-deep/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mehedi Masud,Niloy Sikder,Abdullah-Al Nahid,Anupam Kumar Bairagi,Mohammed A. AlZain |
| Citations | 457 |
| DOI | 10.3390/s21030748 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/1424-8220/21/3/748/pdf?version=1611714516 |
| OpenAlex ID | https://openalex.org/W3121831259 |
| PMID | 33499364 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Anupam Kumar Bairagi](https://scholariq.org/researchers/anupam-kumar-bairagi/)

## Paper journal

- [Sensors](https://scholariq.org/journals/sensors/)

## Paper primary topic

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Paper topics

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

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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.