[HTML][HTML] AI applications in robotics, diagnostic image analysis and precision medicine: Current limitations, future trends, guidelines on CAD systems for medicine
Background AI in healthcare has been recognized by both academia and industry in
revolutionizing how healthcare services will be offered by healthcare service providers and …
revolutionizing how healthcare services will be offered by healthcare service providers and …
[HTML][HTML] CT-guided spatial normalization of nuclear hybrid imaging adapted to enlarged ventricles: Impact on striatal uptake quantification
Introduction Spatial normalization is a prerequisite step for the quantitative analysis of
SPECT or PET brain images using volume-of-interest (VOI) template or voxel-based …
SPECT or PET brain images using volume-of-interest (VOI) template or voxel-based …
Correlating Age and Hematoma Volume with Extent of Midline Shift in Acute Subdural Hematoma Patients: Validation of an Artificial Intelligence Tool for Volumetric …
Objective Decision for intervention in acute subdural hematoma patients is based on a
combination of clinical and radiographic factors. Age has been suggested as a factor to be …
combination of clinical and radiographic factors. Age has been suggested as a factor to be …
Investigating the effect of ventricle size on brain deformation using computational models
Cerebral atrophy is characterized by a shrinking of the brain and consequently an
enlargement of fluid-filled spaces within the cranium. It is a hallmark of normal aging and a …
enlargement of fluid-filled spaces within the cranium. It is a hallmark of normal aging and a …
A population-based study on neuropsychological and morphological signs of idiopathic normal pressure hydrocephalus
O Lilja-Lund - 2022 - diva-portal.org
BACKGROUND: Idiopathic normal pressure hydrocephalus (iNPH) is typically manifested in
people over 65 years. The condition of gait disturbances, incontinence, and cognitive …
people over 65 years. The condition of gait disturbances, incontinence, and cognitive …
Deep learning volumetric brain segmentation based on spectral CT
V Fransson, S Christensen, K Ydström… - … 2023: Physics of …, 2023 - spiedigitallibrary.org
The purpose of this pilot study was to evaluate if a deep learning network can be used for
brain segmentation of grey and white matter using spectral computed tomography (CT) …
brain segmentation of grey and white matter using spectral computed tomography (CT) …