ArticleSensors (Basel, Switzerland)2021
Generative Adversarial Networks to Improve Fetal Brain Fine-Grained Plane Classification.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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Who cites it
12 citing papers in PubMed.
- Generating Brain MRI with StyleGAN2-ADA: The Effect of the Training Set Size on the Quality of Synthetic Images.Journal of imaging informatics in medicine · 2026Article
- FetalMLOps: operationalizing machine learning models for standard fetal ultrasound plane classification.Medical & biological engineering & computing · 2026Article
- Efficient feature extraction using light-weight CNN attention-based deep learning architectures for ultrasound fetal plane classification.Physical and engineering sciences in medicine · 2025Article
- Fetal Diagnostics using Vision Transformer for Enhanced Health and Severity Prediction in Ultrasound ImagingCurrent medical imaging · 2025Article
- Clinically guided adaptive contrast adjustment for fetal plane classification: a modular plug-and-play solution.Frontiers in physiology · 2025Article
- Novel neural network classification of maternal fetal ultrasound planes through optimized feature selection.BMC medical imaging · 2024Article
- PSFHSP-Net: an efficient lightweight network for identifying pubic symphysis-fetal head standard plane from intrapartum ultrasound images.Medical & biological engineering & computing · 2024Article
- Advancements in Artificial Intelligence for Fetal Neurosonography: A Comprehensive Review.Journal of clinical medicine · 2024Review
- Virtual Scenarios of Earthquake Early Warning to Disaster Management in Smart Cities Based on Auxiliary Classifier Generative Adversarial Networks.Sensors (Basel, Switzerland) · 2023Article
- Transfer learning for accurate fetal organ classification from ultrasound images: a potential tool for maternal healthcare providers.Scientific reports · 2023Article
- Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries.Scientific reports · 2023Article
- Identification of Moldy Peanuts under Different Varieties and Moisture Content Using Hyperspectral Imaging and Data Augmentation Technologies.Foods (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Generative adversarial networks (GANs) have been recently applied to medical imaging on different modalities (MRI, CT, X-ray, etc). However there are not many applications on ultrasound modality as a data augmentation technique applied to downstream classification tasks. This study aims to explore and evaluate the generation of synthetic ultrasound fetal brain images via GANs and apply them to improve fetal brain ultrasound plane classification. State of the art GANs
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Registered trials
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