Administrative and medical processes of the healthcare organizations are rapidly changing
because of the use of artificial intelligence (AI) systems. This change demonstrates the …

The implementation of artificial intelligence (AI) is driving significant transformation inside
the administrative and clinical workflows of healthcare organizations at an accelerated rate …

Acute pancreatitis is an inflammatory disorder of the pancreas. Medical imaging, such as
computed tomography (CT), has been widely used to detect volume changes in the …

Deep learning has been widely used for plant disease recognition in smart agriculture and
has proven to be a powerful tool for image classification and pattern recognition. However, it …

Segmentation of anatomical structures is a fundamental image analysis task for many
applications in the medical field. Deep learning methods have been shown to perform well …

Abdominal organ segmentation is the segregation of a single or multiple abdominal organ
(s) into semantic image segments of pixels identified with homogeneous features such as …

Recent advances in deep learning have achieved impressive results on microscopy cell
counting tasks. The success of deep learning models usually needs sufficient training data …

One of the most useful diagnostic tests for brain diseases is magnetic resonance imaging
(MRI). It is a demanding task to segment brain tissue into cerebrospinal fluid (CSF), gray …

Background Artificial intelligence (AI) is seen as one of the major disrupting forces in the
future healthcare system. However, the assessment of the value of these new technologies …

The annotation of magnetic resonance imaging (MRI) images plays an important role in
deep learning-based MRI segmentation tasks. Semi-automatic annotation algorithms are …