# A Review on Machine Learning Styles in Computer Vision—Techniques and Future Directions

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-review-on-machine-learning-styles-in-computer-vision-techniques-and-future/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Supriya V. Mahadevkar,Bharti Khemani,Shruti Patil,Ketan Kotecha,Deepali Vora,Ajith Abraham,Lubna A. Gabralla |
| Citations | 281 |
| DOI | 10.1109/access.2022.3209825 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/6514899/09903420.pdf |
| OpenAlex ID | https://openalex.org/W4297094728 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Ketan Kotecha](https://scholariq.org/researchers/ketan-kotecha/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## Paper primary topic

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

## Paper topics

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)
- [Smart Systems and Machine Learning](https://scholariq.org/topics/smart-systems-and-machine-learning/)

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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.