Cardiac radiotherapy induces electrical conduction reprogramming in the absence of transmural fibrosis
DM Zhang, R Navara, T Yin, J Szymanski… - Nature …, 2021 - nature.com
Cardiac radiotherapy (RT) may be effective in treating heart failure (HF) patients with
refractory ventricular tachycardia (VT). The previously proposed mechanism of radiation …
refractory ventricular tachycardia (VT). The previously proposed mechanism of radiation …
A survey on AI techniques for thoracic diseases diagnosis using medical images
Thoracic diseases refer to disorders that affect the lungs, heart, and other parts of the rib
cage, such as pneumonia, novel coronavirus disease (COVID-19), tuberculosis …
cage, such as pneumonia, novel coronavirus disease (COVID-19), tuberculosis …
A novel hybrid harris hawks optimization for color image multilevel thresholding segmentation
Multilevel thresholding has got more attention in recent years with various successful
applications. However, the implementation becomes more and more complex and time …
applications. However, the implementation becomes more and more complex and time …
Application of a fully deep convolutional neural network to the automation of tooth segmentation on panoramic radiographs
Objectives To evaluate a fully deep learning mask region-based convolutional neural
network (R-CNN) method for automated tooth segmentation using individual annotation of …
network (R-CNN) method for automated tooth segmentation using individual annotation of …
Brain tumor prediction on MR images with semantic segmentation by using deep learning network and 3D imaging of tumor region
When it comes to medical image segmentation on brain MR images, using deep learning
techniques has a significant impact to predict tumor existence. Manual segmentation of a …
techniques has a significant impact to predict tumor existence. Manual segmentation of a …
Fully automatic left atrium segmentation from late gadolinium enhanced magnetic resonance imaging using a dual fully convolutional neural network
Atrial fibrillation (AF) is the most prevalent form of cardiac arrhythmia. Current treatments for
AF remain suboptimal due to a lack of understanding of the underlying atrial structures that …
AF remain suboptimal due to a lack of understanding of the underlying atrial structures that …
Strided fully convolutional neural network for boosting the sensitivity of retinal blood vessels segmentation
In this paper, a deep convolutional neural network (CNN) is proposed for accurate
segmentation of retinal blood vessels. This method plays a significant role in observing …
segmentation of retinal blood vessels. This method plays a significant role in observing …
The role of machine learning in cardiovascular pathology
Abstract Machine learning has seen slow but steady uptake in diagnostic pathology over the
past decade to assess digital whole-slide images. Machine learning tools have incredible …
past decade to assess digital whole-slide images. Machine learning tools have incredible …
[HTML][HTML] Kapur's entropy for color image segmentation based on a hybrid whale optimization algorithm
In this paper, a new hybrid whale optimization algorithm (WOA) called WOA-DE is proposed
to better balance the exploitation and exploration phases of optimization. Differential …
to better balance the exploitation and exploration phases of optimization. Differential …
An unsupervised transfer learning model based on convolutional auto encoder for non-alcoholic steatohepatitis activity scoring and fibrosis staging of liver …
Non-alcoholic fatty liver disease (NAFLD) is one of the most frequent chronic liver diseases
worldwide. Non-alcoholic steatohepatitis (NASH) is a progressive type of NAFLD that may …
worldwide. Non-alcoholic steatohepatitis (NASH) is a progressive type of NAFLD that may …