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Operating algorithm for an automated system for detection and evaluation of vessel outline parameters on ultrasound images
An algorithm for the operation of an automated system for processing images of cross-sections of blood vessels on ultrasound images is proposed,...
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Super-resolution of 2D ultrasound images and videos
AbstractThis paper proposes a novel deep-learning framework for super-resolution ultrasound images and videos in terms of spatial resolution and line...
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An effective convolutional neural network for classification of benign and malignant breast and thyroid tumors from ultrasound images
Breast and thyroid cancers are the two most common cancers among women worldwide. The early clinical diagnosis of breast and thyroid cancers often...
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Assessment of encoder-decoder-based segmentation models for thyroid ultrasound images
Encoder-decoder-based semantic segmentation models classify image pixels into the corresponding class, such as the ROI (region of interest) or...
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Real-time denoising of ultrasound images based on deep learning
Ultrasound images are widespread in medical diagnosis for muscle-skeletal, cardiac, and obstetrical diseases, due to the efficiency and...
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Deep learning-based system for automatic prediction of triple-negative breast cancer from ultrasound images
To develop a deep-learning system for the automatic identification of triple-negative breast cancer (TNBC) solely from ultrasound images. A total of...
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A Method for Automatic Calculation of the Diameter of a Pulsating Blood Vessel on Ultrasound Images in Video Stream Mode
Three approaches to automatic measurement of the diameter of pulsating blood vessels on ultrasound images in the video stream mode are considered....
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Classification of breast lesions in ultrasound images using deep convolutional neural networks: transfer learning versus automatic architecture design
Deep convolutional neural networks (DCNNs) have demonstrated promising performance in classifying breast lesions in 2D ultrasound (US) images....
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Ultrasound Tomography
Ultrasound tomography (USCT) is a promising imaging modality, mainly aiming at early diagnosis of breast cancer. It provides three-dimensional,...
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PSFHSP-Net: an efficient lightweight network for identifying pubic symphysis-fetal head standard plane from intrapartum ultrasound images
The accurate selection of the ultrasound plane for the fetal head and pubic symphysis is critical for precisely measuring the angle of progression....
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Classification of rotator cuff tears in ultrasound images using deep learning models
Rotator cuff tears (RCTs) are one of the most common shoulder injuries, which are typically diagnosed using relatively expensive and time-consuming...
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When deep learning is not enough: artificial life as a supplementary tool for segmentation of ultrasound images of breast cancer
Segmentation of tumors in ultrasound (US) images of the breast is a critical issue in medical imaging. Due to the poor quality of US images and the...
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CADNet: an advanced architecture for automatic detection of coronary artery calcification and shadow border in intravascular ultrasound (IVUS) images
Intravascular Ultrasound (IVUS) is a medical imaging modality widely used for the detection and treatment of coronary heart disease. The detection of...
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A State-Of-The-Art Review on Coronary Artery Border Segmentation Algorithms for Intravascular Ultrasound (IVUS) Images
Intravascular Ultrasound images (IVUS) is a useful guide for medical practitioners to identify the vascular status of coronary arteries in human...
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An Accurate Segmentation Framework for Static Ultrasound Images of the Gestational Sac
PurposeAbnormal morphology characteristics of the gestational sac give accurate prediction for the early spontaneous abortion. However, due to the...
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A deep learning approach to median nerve evaluation in ultrasound images of carpal tunnel inlet
Ultrasound (US) imaging is recognized as a useful support for Carpal Tunnel Syndrome (CTS) assessment through the evaluation of median nerve...
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Evaluation of carotid intima media thickness measurement from ultrasound images
A third of deaths in the world are due to cardiovascular diseases [1]. Atherosclerosis is the major cause of myocardial infarction, which occurs by...
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Transthoracic ultrasound localization microscopy of myocardial vasculature in patients
Myocardial microvasculature and haemodynamics are indicative of potential microvascular diseases for patients with symptoms of coronary heart disease...
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Segmentation of Lymph Nodes in Ultrasound Images Using U-Net Convolutional Neural Networks and Gabor-Based Anisotropic Diffusion
PurposeThe automated segmentation of lymph nodes (LNs) in ultrasound images is challenging, largely because of speckle noise and echogenic hila. This...
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Tip estimation approach for concentric tube robots using 2D ultrasound images and kinematic model
Concentric tube robot (CTR) is an efficient approach for minimally invasive surgery (MIS) and diagnosis due to its small size and high dexterity. To...
