Objective With latest developments in deep learning approaches, automated, accurate, fast,
and generalized segmentation model for left atrium, left ventricle, right ventricle, and …

Treatment success for atrial fibrillation (AF) has been suboptimal until now, even though it is
among the most frequent types of sustained atrial arrhythmia. Magnetic resonance imaging …

The domain of deep learning stimulates medical image analysis, which is a catalyst of
scientific research and an essential element of healthcare. Since semantic segmentation …

Magnetic resonance imaging (MRI) is a non-invasive technique used in cardiac diagnosis.
Using it, specialists can measure the masses and volumes of the right ventricle (RV), left …

Cardiac segmentation is a critical task in medical imaging, essential for detailed analysis of
heart structures, which is crucial for diagnosing and treating various cardiovascular …

The U-Net architecture, which performs segmentation on images, has also achieved very
successful results in the medical field. However, there is also a need to improve the U-Net …

Purpose: The aim of this study is to present new proposals to improve the task of lesion
segmentation on dermoscopic images. These proposals are aimed at the model that …