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Farn: fetal anatomy reasoning network for detection with global context semantic and local topology relationship
Accurate recognition of fetal anatomical structure is a pivotal task in ultrasound (US) image
analysis. Sonographers naturally apply anatomical knowledge and clinical expertise to …
analysis. Sonographers naturally apply anatomical knowledge and clinical expertise to …
Cardiacnet: Learning to reconstruct abnormalities for cardiac disease assessment from echocardiogram videos
Echocardiogram video plays a crucial role in analysing cardiac function and diagnosing
cardiac diseases. Current deep neural network methods primarily aim to enhance diagnosis …
cardiac diseases. Current deep neural network methods primarily aim to enhance diagnosis …
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding
Quantitative analysis of cardiac motion is crucial for assessing cardiac function. This
analysis typically uses imaging modalities such as MRI and Echocardiograms that capture …
analysis typically uses imaging modalities such as MRI and Echocardiograms that capture …
SKGC: A General Semantic-level Knowledge Guided Classification Framework for Fetal Congenital Heart Disease
Congenital heart disease (CHD) is the most common congenital disability affecting healthy
development and growth, even resulting in pregnancy termination or fetal death. Recently …
development and growth, even resulting in pregnancy termination or fetal death. Recently …
Automatic segmentation of 15 critical anatomical labels and measurements of cardiac axis and cardiothoracic ratio in fetal four chambers using nnU-NetV2
Background Accurate segmentation of critical anatomical structures in fetal four-chamber
view images is essential for the early detection of congenital heart defects. Current prenatal …
view images is essential for the early detection of congenital heart defects. Current prenatal …
Vision Foundation Models in Medical Image Analysis: Advances and Challenges
The rapid development of Vision Foundation Models (VFMs), particularly Vision
Transformers (ViT) and Segment Anything Model (SAM), has sparked significant advances …
Transformers (ViT) and Segment Anything Model (SAM), has sparked significant advances …
TKR-FSOD: Fetal Anatomical Structure Few-Shot Detection Utilizing Topological Knowledge Reasoning
Fetal multi-anatomical structure detection in ultrasound (US) images can clearly present the
relationship and influence between anatomical structures, providing more comprehensive …
relationship and influence between anatomical structures, providing more comprehensive …
FastCRL: A Fast Network With Adaptive Fourier Transform and Offset Prediction for Fetal Crown-Rump Length Measurement and Position Estimation in Ultrasound …
J Liu, Y Tan, C Wang, K Li, G Tan… - IEEE Journal of …, 2025 - ieeexplore.ieee.org
Fetal crown-rump length (CRL) is one of the most accurate method for estimating gestational
age in early pregnancy. Typically, the process of manual CRL measurement by physicians is …
age in early pregnancy. Typically, the process of manual CRL measurement by physicians is …
Optimized Pyramidal Convolution Shuffle attention neural network based fetal cardiac cycle detection from echocardiograms
The precise identification of end-systolic (ES) and end-diastolic (ED) frames from ultrasound
films is crucial for automated biometric assessment and diagnosis of fetal echocardiograms …
films is crucial for automated biometric assessment and diagnosis of fetal echocardiograms …
Fetal Cardiac Structure Detection Using Multi-task Learning
The prenatal ultrasound examination is a highly effective method for evaluating fetal health,
wherein the acquisition of standard fetal ultrasound planes and accurate identification of key …
wherein the acquisition of standard fetal ultrasound planes and accurate identification of key …