Universeg: Universal medical image segmentation

VI Butoi, JJG Ortiz, T Ma, MR Sabuncu… - Proceedings of the …, 2023 - openaccess.thecvf.com
While deep learning models have become the predominant method for medical image
segmentation, they are typically not capable of generalizing to unseen segmentation tasks …

SAMUS: Adapting segment anything model for clinically-friendly and generalizable ultrasound image segmentation

X Lin, Y Xiang, L Zhang, X Yang, Z Yan… - arXiv preprint arXiv …, 2023 - arxiv.org
Segment anything model (SAM), an eminent universal image segmentation model, has
recently gathered considerable attention within the domain of medical image segmentation …

Deep learning supported echocardiogram analysis: A comprehensive review

G Sanjeevi, U Gopalakrishnan… - Artificial Intelligence in …, 2024 - Elsevier
An echocardiogram is a sophisticated ultrasound imaging technique employed to diagnose
heart conditions. The transthoracic echocardiogram, one of the most prevalent types, is …

Denoising transthoracic echocardiographic images in regional wall motion abnormality using deep learning techniques

AS Beevi, S Ratheesha, S Kalady, JJ Chackola - Soft Computing, 2023 - Springer
Image analysis and classification perform well in pre-processed noise-free images than in
corrupted images. Synthetic aperture radar (SAR) images, Ultrasound (US) medical images …

Embedding tasks into the latent space: cross-space consistency for multi-dimensional analysis in echocardiography

Z Zhang, C Yu, H Zhang, Z Gao - IEEE Transactions on Medical …, 2024 - ieeexplore.ieee.org
Multi-dimensional analysis in echocardiography has attracted attention due to its potential
for clinical indices quantification and computer-aided diagnosis. It can utilize various …

Automatic diagnostic tool for detection of regional wall motion abnormality from echocardiogram

G Sanjeevi, U Gopalakrishnan… - Journal of medical …, 2023 - Springer
The echocardiogram is an ultrasound imaging modality, employed to assess cardiac
abnormalities. The Regional Wall Motion Abnormality (RWMA) is the occurrence of …

Early myocardial infarction detection with one-class classification over multi-view echocardiography

A Degerli, F Sohrab, S Kiranyaz… - 2022 Computing in …, 2022 - ieeexplore.ieee.org
Myocardial infarction (MI) is the leading cause of mortaZity and morbidity in the world. Early
therapeutics of MI can ensure the prevention of further myocardial necrosis …

Application status and Prospect of deep learning in echocardiography

Q Qi, X Han, Y Liu - IEEE Access, 2024 - ieeexplore.ieee.org
Echocardiography is essential for the diagnosis and treatment of cardiovascular diseases,
especially in the diagnosis of congenital heart disease. However, the interpretation of …

[HTML][HTML] Early myocardial infarction detection over multi-view echocardiography

A Degerli, S Kiranyaz, T Hamid, R Mazhar… - … Signal Processing and …, 2024 - Elsevier
Myocardial infarction (MI) is the leading cause of mortality in the world. Its early diagnosis
can mitigate the extent of myocardial damage by facilitating early therapeutic interventions …

Fully automated 2D and 3D convolutional neural networks pipeline for video segmentation and myocardial infarction detection in echocardiography

O Hamila, S Ramanna, CJ Henry, S Kiranyaz… - Multimedia Tools and …, 2022 - Springer
Myocardial infarction (MI) is a life-threatening disorder that occurs due to a prolonged
limitation of blood supply to the heart muscles, and which requires an immediate diagnosis …