Abstract Machine learning has been proven to be a game-changing technology in every
domain since the late 20th century. There have been many advancements in healthcare not …

Intracranial hemorrhage occurs when blood vessels rupture or leak within the brain tissue or
elsewhere inside the skull. It can be caused by physical trauma or by various medical …

Automatic evaluation of 3D volumes is a topic of importance in order to speed up clinical
decision making. We describe a method to classify computed tomography scans on volume …

Classification of brain haemorrhage is a challenging task that needs to be solved to help
advance medical treatment. Recently, it has been observed that efficient deep learning …

Intracranial hemorrhage (ICH) is a common clinical emergency that can lead to brain
damage or death in a serious situation with extremely high disability and mortality rates. In …

This study investigates the application of low-cost embedded platforms integrating deep
learning models for intracranial hemorrhage classification using head CT images Two …

Brain midline shift is often caused by various clinical conditions such as high intracranial
pressure, which can be deadly. To facilitate clinical evaluation, automated methods have …

Appropriate brain hemorrhage classification is a very crucial task that needs to be solved by
advanced medical treatment. Recently, various deep learning models have been introduced …

We propose for the first time a new strategy to train slice-level classifiers on CT scans based
on the descriptors of the adjacent slices along the axis. In particular, each of which is …

While medical images such as computed tomography (CT) are stored in DICOM format in
hospital PACS, it is still quite routine in many countries to print a film as a transferable …