Cardiac imaging plays an important role in the diagnosis of cardiovascular disease (CVD).
Until now, its role has been limited to visual and quantitative assessment of cardiac structure …

We propose a new recurrent generative adversarial architecture named RNN-GAN to
mitigate imbalance data problem in medical image semantic segmentation where the …

Data classification is a common task, which can be performed by both computers and
human beings. However, a fundamental difference between them can be observed …

We propose a new adversarial network, named voxel-GAN, to mitigate imbalanced data
problem in brain tumor semantic segmentation where the majority of voxels belong to a …

A classificação é uma tarefa do aprendizado de máquina e mineração de dados, na qual
um classificador é treinado sobre um conjunto de dados rotulados de forma que as classes …

This article presents a method based on support vector machines (SVMs) and the Osuna–
Platt algorithm used to diagnose the ischemic heart disease. It also includes the necessary …

Heart pumps blood for all tissues of the body. The deteriorate of this organ causes a severe
illness, disability and death sincecardiovascular diseases involve the diseases that related …

The optimal non-invasive test, Coronary computed tomography angiography (CCTA), is to
control coronary artery disease (CAD). This paper proposes a developed algorithm called …

The article presents the application of the support vector machines (SVM) method to
recognise gallbladder lesions such as lithiasis and polyps in USG images. USG images of …

KLASIFIKASI SUDUT PANDANG ULTRASONOGRAPHY (USG) PADA JANTUNG FETAL
MENGGUNAKAN HISTOGRAM OF ORIENTED GRADIENT (HOG) DAN SUPPORT Page 1 …