Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling

arXiv:2403.07818v1 Announce Type: cross
Abstract: Echocardiography (echo) is the first imaging modality used when assessing cardiac function. The measurement of functional biomarkers from echo relies upon the segmentation of cardiac structures and deep learning models have been proposed to automate the segmentation process. However, in order to translate these tools to widespread clinical use it is important that the segmentation models are robust to a wide variety of images (e.g. acquired from different scanners, by operators with different levels of …

abstract arxiv automate cs.ai cs.cv cs.lg datasets deep learning domain dropout echo function functional however imaging labelling measurement multiple process segmentation shift type