As far back as the industrial revolution, significant development in technical innovation has
succeeded in transforming numerous manual tasks and processes that had been in …

Deep learning with convolutional neural networks (CNN) is a rapidly advancing subset of
artificial intelligence that is ideally suited to solving image-based problems. There are an …

Prenatal ultrasound examination is a powerful tool to prevent birth defects and assess fetal
health. Obtaining ultrasound standard planes is a prerequisite for prenatal ultrasound …

Deep learning-based methods, in particular, convolutional neural networks and fully
convolutional networks are now widely used in the medical image analysis domain. The …

Purpose The purpose of this study was to create an algorithm that combines multiple
machine-learning techniques to predict the expanded disability status scale (EDSS) score of …

Breast cancer has become a symbol of tremendous concern in the modern world, as it is one
of the major causes of cancer mortality worldwide. In this regard, breast ultrasonography …

Purpose The purpose of this study was to create an algorithm to detect and classify
pulmonary nodules in two categories based on their volume greater than 100 mm 3 or not …

Abstract Three-dimensional (3D) imaging and post processing are common tasks used daily
in many disciplines. The purpose of this article is to review the new postprocessing tools …

The larynx, or the voice-box, is a common site of occurrence of Head and Neck cancers. Yet,
automated segmentation of the larynx has been receiving very little attention. Segmentation …

With the recent developments in deep learning and the rapid growth of convolutional neural
networks, artificial intelligence has shown promise as a tool that can transform several …