The escalating cost of healthcare and the growing prevalence of chronic diseases have
created an urgent need for new solutions. Machine learning has the potential to …

Intracranial Hemorrhage is a term used to describe bleeding between the brain tissue and
the skull or within the brain tissue itself. It is life-threatening and needs immediate medical …

Hintergrund: Ziel der Studie war es, ein Deep Learning Modell zu trainieren, welches
histopathologisch validierte, teils atypisch erscheinende hepatozelluläre Karzinome (HCC) …

A aplicação de Redes Neurais Profundas para detecção de hemorragia intracraniana a
partir de imagens de tomografia computadorizada tem sido amplamente utilizada na …

Computer tomography (CT) are now widely used for the diagnosis of head various head
injuries. A CT scan slice has a lot of data that can't always be thoroughly analyzed quickly …

I studied on the deep learning frontier application on head Computed Tomography (CT)
scans due to the wide adoption and cost efficiency of CT scans. The works were formulated …

Computed Tomography (CT) is the first choice of imaging modality for different acute clinical
conditions28–30. CT is widely available and is a cheaper and faster imaging method with …

Background & Motivation: The field of personalized medicine endeavors to transform the
healthcare industry by advancing individualized strategies for diagnosis, treatment …

As a disease with malignant potential, hydatidiform mole (HM) is one of the most common
gestational trophoblastic diseases. For pathologists, the HM section of hydrops lesions is an …

Intracranial hemorrhage is a fatal disease with severe outcomes. Non-contrast computed
tomography (CT) scan is the preferred method of evaluating patients for hemorrhage …