Restrictive cardiomyopathy (RCM) is the least common of the major types of cardiomyopathies (5%) and portends a poor prognosis when it manifests during childhood.57–59 The disorder is characterized by diastolic dysfunction related to a marked increase in myocardial stiffness resulting in impaired...
Introduction: the cardio-thoracic ratio (CTR) and the transverse cardiac diameter (TCD) on Plain chest radiography are the two parameters commonly used to diagnose cardiomegaly and heart disease. A CTR of greater than 50% on a PA film is abnormal and normally indicates cardiac or pericardial ef...
We leverage some of the advanced ConvNet architectures as a backbone-model of the proposed attention mapping network to build Cardio-XAttentionNet. The proposed model is trained on ChestX-Ray14, which is a publicly accessible chest X-ray dataset. The best single model achieves an overall ...
A CTR of 0.5 or greater is considered indicative of cardiomegaly. In 2018, Que Q. published “CardioXNet: Automated Detection for Cardiomegaly Based on Deep Learning”, which detailed the development of CardioXNet using the DenseNet neural network to determine the presence of cardiomegaly in ...
CardioNet is the method proposed and used to determine the presence of cardiomegaly, and the graphical representation is discussed in Section 3. CardioNet is a semantic segmentation network that uses the dense identity features in the architecture to detect the edge properly within a few pixels. ...
Figure 1. Chest anatomy segmentation to calculate cardiomegaly: (a) original CXR PA image, (b) segmented image by CardioNet, (c) maximum width of heart and thorax to calculate the CTR. In medical imaging, segmentation is extracted with similar properties from the images. The areas of inter...