# Classification of Cervical Intraepithelial Neoplasia (CIN) using fine-tuned Convolutional Neural Networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/classification-of-cervical-intraepithelial-neoplasia-cin-using-fine-tuned/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Oluwatomisin E. Aina,Steve A. Adeshina,Adeyinka P. Adedigba,Abiodun Musa Aibinu |
| Citations | 13 |
| DOI | 10.1016/j.ibmed.2021.100031 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.sciencedirect.com/science/article/pii/S2666521221000077/pdf |
| OpenAlex ID | https://openalex.org/W3158120746 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Adeyinka P. Adedigba](https://scholariq.org/researchers/adeyinka-p-adedigba/)

## Paper journal

- [Intelligence-Based Medicine](https://scholariq.org/journals/intelligence-based-medicine/)

## 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/)
- [Cervical Cancer and HPV Research](https://scholariq.org/topics/cervical-cancer-and-hpv-research/)
- [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.