AIMC Topic: Ventricular Septum

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Interpretable machine learning for predicting isolated basal septal hypertrophy.

PloS one Jun 30, 2025
BACKGROUND: The basal septal hypertrophy(BSH) is an often under-recognized morphological change in the left ventricle. This is a common echocardiographic finding with a prevalence of approximately 7-20%, which may indicate early structural and functi...
Humans Machine Learning Algorithms Female Aged Aged, 80 and over Male Echocardiography ROC Curve Ventricular Septum Heart Septum
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MRI Deep Learning-Based Automatic Segmentation of Interventricular Septum for Black-Blood Myocardial T2* Measurement in Thalassemia.

Journal of magnetic resonance imaging : JMRI Nov 9, 2023
BACKGROUND: The T2* value of interventricular septum is routinely reported for grading myocardial iron load in thalassemia major, and automatic segmentation of septum could shorten analysis time and reduce interobserver variability.
Humans Retrospective Studies Female Reproducibility of Results Young Adult Adult Male Middle Aged Deep Learning Adolescent Image Processing, Computer-Assisted Magnetic Resonance Imaging Myocardium beta-Thalassemia Iron Overload Thalassemia Observer Variation Ventricular Septum
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Image Segmentation of the Ventricular Septum in Fetal Cardiac Ultrasound Videos Based on Deep Learning Using Time-Series Information.

Biomolecules Nov 8, 2020
Image segmentation is the pixel-by-pixel detection of objects, which is the most challenging but informative in the fundamental tasks of machine learning including image classification and object detection. Pixel-by-pixel segmentation is required to ...
Humans Pregnancy Female Ultrasonography, Prenatal Deep Learning Image Processing, Computer-Assisted Fetal Heart Ventricular Septum
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