# Detection of fetal brain abnormalities using data augmentation and convolutional neural network in internet of things

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/detection-of-fetal-brain-abnormalities-using-data-augmentation-and-convolutional/

## Facts

| Field | Value |
| --- | --- |
| Author Names | M. Priya,M. Nandhini |
| Citations | 13 |
| DOI | 10.1016/j.measen.2023.100808 |
| Fields | Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1016/j.measen.2023.100808 |
| OpenAlex ID | https://openalex.org/W4380987280 |
| Type | article |
| Year | 2023 |

## Paper authors

- [M. Nandhini](https://scholariq.org/researchers/m-nandhini/)

## Paper primary topic

- [Fetal and Pediatric Neurological Disorders](https://scholariq.org/topics/fetal-and-pediatric-neurological-disorders/)

## Paper topics

- [Fetal and Pediatric Neurological Disorders](https://scholariq.org/topics/fetal-and-pediatric-neurological-disorders/)
- [Neonatal and fetal brain pathology](https://scholariq.org/topics/neonatal-and-fetal-brain-pathology/)
- [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.