Fetal Brain Imaging: A Composite Neural Network Approach for Keyframe Detection in Ultrasound Videos
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866914551613620224 |
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| author | Zamojski, Aleksander Jarczak, Kacper Roszczyk, Radoslaw |
| author_facet | Zamojski, Aleksander Jarczak, Kacper Roszczyk, Radoslaw |
| contents | This article presents a novel approach to keyframe detection in ultrasound videos, with a particular focus on fetal brain imaging. The proposed model is a composite neural network architecture that combines a Convolutional Neural Network (CNN) with a Recurrent Neural Network (RNN). The CNN extracts spatial features from individual video frames, while the RNN captures temporal dependencies between consecutive frames within each video sequence.
The proposed model may improve the efficiency and accuracy of fetal brain ultrasound analysis, thereby supporting earlier detection, diagnosis, and treatment planning for selected fetal brain conditions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_09750 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Fetal Brain Imaging: A Composite Neural Network Approach for Keyframe Detection in Ultrasound Videos Zamojski, Aleksander Jarczak, Kacper Roszczyk, Radoslaw Computer Vision and Pattern Recognition This article presents a novel approach to keyframe detection in ultrasound videos, with a particular focus on fetal brain imaging. The proposed model is a composite neural network architecture that combines a Convolutional Neural Network (CNN) with a Recurrent Neural Network (RNN). The CNN extracts spatial features from individual video frames, while the RNN captures temporal dependencies between consecutive frames within each video sequence. The proposed model may improve the efficiency and accuracy of fetal brain ultrasound analysis, thereby supporting earlier detection, diagnosis, and treatment planning for selected fetal brain conditions. |
| title | Fetal Brain Imaging: A Composite Neural Network Approach for Keyframe Detection in Ultrasound Videos |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2605.09750 |