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Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study
Background Non-contrast head CT scan is the current standard for initial imaging of patients
with head trauma or stroke symptoms. We aimed to develop and validate a set of deep …
with head trauma or stroke symptoms. We aimed to develop and validate a set of deep …
Brain midline shift measurement and its automation: a review of techniques and algorithms
CC Liao, YF Chen, F **ao - International journal of biomedical …, 2018 - Wiley Online Library
Midline shift (MLS) of the brain is an important feature that can be measured using various
imaging modalities including X‐ray, ultrasound, computed tomography, and magnetic …
imaging modalities including X‐ray, ultrasound, computed tomography, and magnetic …
[HTML][HTML] Automated detection and screening of traumatic brain injury (TBI) using computed tomography images: a comprehensive review and future perspectives
Traumatic brain injury (TBI) occurs due to the disruption in the normal functioning of the
brain by sudden external forces. The primary and secondary injuries due to TBI include …
brain by sudden external forces. The primary and secondary injuries due to TBI include …
Development and validation of deep learning algorithms for detection of critical findings in head CT scans
Importance: Non-contrast head CT scan is the current standard for initial imaging of patients
with head trauma or stroke symptoms. Objective: To develop and validate a set of deep …
with head trauma or stroke symptoms. Objective: To develop and validate a set of deep …
Noninvasive methods of detecting increased intracranial pressure
W Xu, P Gerety, T Aleman, J Swanson, J Taylor - Child's nervous system, 2016 - Springer
The detection of elevated intracranial pressure (ICP) is of paramount importance in the
diagnosis and management of a number of neurologic pathologies. The current gold …
diagnosis and management of a number of neurologic pathologies. The current gold …
Prediction of therapeutic intensity level from automatic multiclass segmentation of traumatic brain injury lesions on CT-scans
The prediction of the therapeutic intensity level (TIL) for severe traumatic brain injury (TBI)
patients at the early phase of intensive care unit (ICU) remains challenging. Computed …
patients at the early phase of intensive care unit (ICU) remains challenging. Computed …
AI-based decision support system for traumatic brain injury: a survey
Traumatic brain injury (TBI) is one of the major causes of disability and mortality worldwide.
Rapid and precise clinical assessment and decision-making are essential to improve the …
Rapid and precise clinical assessment and decision-making are essential to improve the …
Imaging in neurocritical care practice
The use of neuroimaging in conjunction with serial neurological examinations is a core
component of modern neurocritical care practice. Although there is a growing role for other …
component of modern neurocritical care practice. Although there is a growing role for other …
Automated identification and quantification of traumatic brain injury from CT scans: Are we there yet?
A Hibi, M Jaberipour, MD Cusimano, A Bilbily… - Medicine, 2022 - journals.lww.com
Background: The purpose of this study was to conduct a systematic review for understanding
the availability and limitations of artificial intelligence (AI) approaches that could …
the availability and limitations of artificial intelligence (AI) approaches that could …
A novel systematic approach to diagnose brain tumor using integrated type-II fuzzy logic and ANFIS (adaptive neuro-fuzzy inference system) model
S Chatterjee, A Das - Soft Computing, 2020 - Springer
Brain tumor is an alarming threat among children and adults worldwide. Early detection and
proper diagnosis of the tumor can enhance the chance of accurate survival among the …
proper diagnosis of the tumor can enhance the chance of accurate survival among the …