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Semi-supervised Left Atrium Segmentation with Mutual Consistency Training
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2021Semi-supervised learning has attracted great attention in the field of machine learning, especially for medical image segmentation tasks, since it alleviates the heavy burden of collecting abundant densely annotated data for training.
Yicheng Wu +4 more
semanticscholar +1 more source
Journal of Cardiac Surgery, 2013
Mini‐AbstractA 58‐year‐old woman with a history of mitral valve replacement (MVR) 17 years ago and was admitted to our clinic with dyspnea. Transthoracic examination showed a normal functioning MVR with a very large left atrium which was 209 × 96 mm that was not possible to fit the screen in its entirety.
Aya Saito +3 more
openaire +6 more sources
Mini‐AbstractA 58‐year‐old woman with a history of mitral valve replacement (MVR) 17 years ago and was admitted to our clinic with dyspnea. Transthoracic examination showed a normal functioning MVR with a very large left atrium which was 209 × 96 mm that was not possible to fit the screen in its entirety.
Aya Saito +3 more
openaire +6 more sources
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2019Training deep convolutional neural networks usually requires a large amount of labeled data. However, it is expensive and time-consuming to annotate data for medical image segmentation tasks.
Lequan Yu +4 more
semanticscholar +1 more source
Compliance of left atrium with and without left atrium appendage
American Journal of Physiology-Heart and Circulatory Physiology, 1990Compliance of the left atrial chamber was estimated with and without the appendage intact in six isolated canine left atria. Pressure-volume determinations were measured over a range of 5-30 mmHg for the whole left atrium and were repeated with the appendage excluded. The slope of the pressure vs. normalized volume data for the left atrium without the
Judith C. Rembert +2 more
openaire +3 more sources
Echocardiography, 2010
(Echocardiography 2010;27:354‐355)
Mueller, Hajo +2 more
openaire +4 more sources
(Echocardiography 2010;27:354‐355)
Mueller, Hajo +2 more
openaire +4 more sources
Leiomyosarcoma of the Left Atrium
Asian Cardiovascular and Thoracic Annals, 2008A 41-year-old woman underwent successful excision of a leiomyosarcoma of the left atrium. The preferential left atrial location and frequent myxoid appearance of leiomyosarcoma of the heart make it particularly difficult to distinguish preoperatively from atrial myxoma. Early diagnosis and aggressive surgical intervention with chemotherapy may improve
Marek Šetina +3 more
openaire +3 more sources
Left atrium: a forgotten biomarker and a potential target in cardiovascular medicine.
Journal of Cardiovascular Medicine, 2019: Emerging evidence shows the clinical usefulness of left atrium analysis in different fields of cardiovascular medicine in terms of diagnosis, prognosis and as a potential target for medical treatment.
R. Inciardi, A. Rossi
semanticscholar +1 more source
Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D Ultrasound
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2018Segmentation of the left atrium and deriving its size can help to predict and detect various cardiovascular conditions. Automation of this process in 3D Ultrasound image data is desirable, since manual delineations are time-consuming, challenging and ...
M. Degel, Nassir Navab, Shadi Albarqouni
semanticscholar +1 more source