Background: Stroke infarct volume predicts patient disability and has utility for clinical trial
outcomes. Accurate infarct volume measurement requires manual segmentation of stroke …

Body weight is an indispensable parameter for determination of contrast medium dose,
appropriate drug dosing, or management of radiation dose. However, we cannot always …

Early ischemic lesion on non-contrast computed tomogram (NCCT) in acute stroke can be
subtle and need confirmation with magnetic resonance (MR) image for treatment decision …

Deep learning models for medical image segmentation can fail unexpectedly and
spectacularly for pathological cases and images acquired at different centers than training …

Accepted: 2 August 2022 The human brain is the body's most complicated organ. Constant
blood flow is essential for the sustained functioning of the brain. A blocked blood vessel's …

Objectives Deep learning (DL) studies for the detection of clinically significant prostate
cancer (csPCa) on magnetic resonance imaging (MRI) often overlook potentially relevant …

Stroke is a leading cause of death globally, with higher chances of recovery when prompt
and accurate diagnosis is followed by appropriate treatment. Various neuroimaging …

Background Accurate whole prostate segmentation on magnetic resonance imaging (MRI) is
important in the management of prostatic diseases. In this multicenter study, we aimed to …

Timely analysis of imaging data is critical for diagnosis and decision-making for proper
treatment strategy in the cases of ischemic stroke. Various efforts have been made to …

Image segmentation is an important task in radiation oncology. For example, radiation
therapy requires accurate organ and tumor contours to design the treatment plan. In …