Machine learning in ultrasound computer‐aided diagnostic systems: a survey
The ultrasound imaging is one of the most common schemes to detect diseases in the
clinical practice. There are many advantages of ultrasound imaging such as safety …
clinical practice. There are many advantages of ultrasound imaging such as safety …
Imaging modalities to diagnose carotid artery stenosis: progress and prospect
In the past few decades, imaging has been developed to a high level of sophistication.
Improvements from one-dimension (1D) to 2D images, and from 2D images to 3D models …
Improvements from one-dimension (1D) to 2D images, and from 2D images to 3D models …
Deep learning in medical ultrasound image analysis: a review
Ultrasound (US) is one of the most widely used imaging modalities in medical diagnosis. It
has the advantages of real-time, low cost, noninvasive nature, and easy to operate …
has the advantages of real-time, low cost, noninvasive nature, and easy to operate …
Automated localization and segmentation techniques for B-mode ultrasound images: A review
B-mode ultrasound imaging is used extensively in medicine. Hence, there is a need to have
efficient segmentation tools to aid in computer-aided diagnosis, image-guided interventions …
efficient segmentation tools to aid in computer-aided diagnosis, image-guided interventions …
RETRACTED ARTICLE: Improved Deep Learning Network Based in combination with Cost-sensitive Learning for Early Detection of Ovarian Cancer in Color …
L Zhang, J Huang, L Liu - Journal of medical systems, 2019 - Springer
With the development of theories and technologies in medical imaging, most of the tumors
can be detected in the early stage. However, the nature of ovarian cysts lacks accurate …
can be detected in the early stage. However, the nature of ovarian cysts lacks accurate …
A comprehensive analysis of artificial intelligence techniques for the prediction and prognosis of lifestyle diseases
Artificial intelligence is the fastest growing data-driven technology and is currently used in all
major fields and reduces the work of humans. Artificial intelligence can analyse extensive …
major fields and reduces the work of humans. Artificial intelligence can analyse extensive …
Deep learning‐based carotid media‐adventitia and lumen‐intima boundary segmentation from three‐dimensional ultrasound images
Purpose Quantification of carotid plaques has been shown to be important for assessing as
well as monitoring the progression and regression of carotid atherosclerosis. Various …
well as monitoring the progression and regression of carotid atherosclerosis. Various …
Computational biology: deep learning
Deep learning is the trendiest tool in a computational biologist's toolbox. This exciting class
of methods, based on artificial neural networks, quickly became popular due to its …
of methods, based on artificial neural networks, quickly became popular due to its …
Designing a composite deep learning based differential protection scheme of power transformers
This paper proposes a novel differential protection scheme based on deep neural networks
(DNN). The goal is to propose a fast, reliable, and independent protection scheme in …
(DNN). The goal is to propose a fast, reliable, and independent protection scheme in …
A voxel-based fully convolution network and continuous max-flow for carotid vessel-wall-volume segmentation from 3D ultrasound images
Vessel-wall-volume (VWV) is an important three-dimensional ultrasound (3DUS) metric
used in the assessment of carotid plaque burden and monitoring changes in carotid …
used in the assessment of carotid plaque burden and monitoring changes in carotid …