# Deep Learning-Based BoVW–CRNN Model for Lung Tumor Detection in Nano-Segmented CT Images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-based-bovw-crnn-model-for-lung-tumor-detection-in-nano-segmented/

## Facts

| Field | Value |
| --- | --- |
| Author Names | S Aswathy,Fathimathul Rajeena P. P.,Ajith Abraham,Divya Stephen |
| Citations | 35 |
| DOI | 10.3390/electronics12010014 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2079-9292/12/1/14/pdf?version=1671614576 |
| OpenAlex ID | https://openalex.org/W4312071198 |
| Type | article |
| Year | 2022 |

## Paper authors

- [S Aswathy](https://scholariq.org/researchers/s-aswathy/)
- [Fathimathul Rajeena P. P.](https://scholariq.org/researchers/fathimathul-rajeena-p-p/)

## Paper journal

- [Electronics](https://scholariq.org/journals/electronics/)

## Paper primary topic

- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)

## Paper topics

- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)
- [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/)

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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.