Ultrasound Video

Ultrasound video analysis leverages the temporal dimension of ultrasound scans to improve diagnostic accuracy and efficiency across various medical applications, primarily focusing on automated lesion detection and classification. Current research heavily employs deep learning, incorporating convolutional and recurrent neural networks, transformers, and contrastive learning methods, often enhanced by attention mechanisms to focus on relevant features within the video sequences. This field is significant due to its potential to alleviate the burden on healthcare professionals, improve diagnostic accuracy, particularly in resource-limited settings, and facilitate earlier and more precise interventions.