AI RESEARCH
Fetal Brain Imaging: A Composite Neural Network Approach for Keyframe Detection in Ultrasound Videos
arXiv CS.CV
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ArXi:2605.09750v1 Announce Type: new 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.