# Advancing prenatal healthcare by explainable AI enhanced fetal ultrasound image segmentation using U-Net++ with attention mechanisms

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/advancing-prenatal-healthcare-by-explainable-ai-enhanced-fetal-ultrasound-image/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Retinderdeep Singh,Sheifali Gupta,Heba G. Mohamed,Salil Bharany,Ateeq Ur Rehman,Yazeed Yasin Ghadi,Seada Hussen |
| Citations | 10 |
| DOI | 10.1038/s41598-025-04631-y |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41598-025-04631-y.pdf |
| OpenAlex ID | https://openalex.org/W4411034026 |
| PMID | 40467763 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Retinderdeep Singh](https://scholariq.org/researchers/retinderdeep-singh/)

## Paper journal

- [Scientific Reports](https://scholariq.org/journals/scientific-reports/)

## 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/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [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.