AIMC Topic: Fetal Heart
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Deep Learning-Based Computer-Aided Fetal Echocardiography: Application to Heart Standard View Segmentation for Congenital Heart Defects Detection.
Sensors (Basel, Switzerland)
Nov 30, 2021
Accurate segmentation of fetal heart in echocardiography images is essential for detecting the structural abnormalities such as congenital heart defects (CHDs). Due to the wide variations attributed to different factors, such as maternal obesity, abd...
Simultaneous Segmentation of Fetal Hearts and Lungs for Medical Ultrasound Images via an Efficient Multi-scale Model Integrated With Attention Mechanism.
Ultrasonic imaging
Sep 1, 2021
Large scale early scanning of fetuses via ultrasound imaging is widely used to alleviate the morbidity or mortality caused by congenital anomalies in fetal hearts and lungs. To reduce the intensive cost during manual recognition of organ regions, man...
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 ...
Diagnostic performance of fetal intelligent navigation echocardiography (FINE) in fetuses with double-outlet right ventricle (DORV).
The international journal of cardiovascular imaging
Jul 8, 2020
The main objective of this study was to investigate the diagnostic performance of FINE in generating and displaying 3 specific abnormal fetal echocardiography views such as left ventricular outflow tract (LVOT) view, right ventricular outflow tract (...
Pregnancy
Female
Reproducibility of Results
Young Adult
Adult
Ultrasonography, Prenatal
Double Outlet Right Ventricle
Anatomic Landmarks
Spatio-Temporal Analysis
Humans
Image Interpretation, Computer-Assisted
Fetal Heart
Artificial Intelligence
Diagnosis, Computer-Assisted
Echocardiography, Four-Dimensional
Gestational Age
Predictive Value of Tests
Hierarchical Class Incremental Learning of Anatomical Structures in Fetal Echocardiography Videos.
IEEE journal of biomedical and health informatics
Feb 12, 2020
This paper proposes an ultrasound video interpretation algorithm that enables novel classes or instances to be added over time, without significantly compromising prediction abilities on prior representations. The motivating application is diagnostic...
Machine Learning in Fetal Cardiology: What to Expect.
Fetal diagnosis and therapy
Jan 7, 2020
In fetal cardiology, imaging (especially echocardiography) has demonstrated to help in the diagnosis and monitoring of fetuses with a compromised cardiovascular system potentially associated with several fetal conditions. Different ultrasound approac...
DW-Net: A cascaded convolutional neural network for apical four-chamber view segmentation in fetal echocardiography.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Dec 23, 2019
Fetal echocardiography (FE) is a widely used medical examination for early diagnosis of congenital heart disease (CHD). The apical four-chamber view (A4C) is an important view among early FE images. Accurate segmentation of crucial anatomical structu...
[Research on intelligent fetal heart monitoring model based on deep active learning].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Feb 25, 2025
Cardiotocography (CTG) is a non-invasive and important tool for diagnosing fetal distress during pregnancy. To meet the needs of intelligent fetal heart monitoring based on deep learning, this paper proposes a TWD-MOAL deep active learning algorithm ...
The Holy Grail of obstetric ultrasound: can artificial intelligence detect hard-to-identify fetal cardiac anomalies?
Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
Jul 1, 2024
Automatic quality assessment for 2D fetal sonographic standard plane based on multitask learning.
Medicine
Jan 29, 2021
The quality control of fetal sonographic (FS) images is essential for the correct biometric measurements and fetal anomaly diagnosis. However, quality control requires professional sonographers to perform and is often labor-intensive. To solve this p...
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