Intracranial hemorrhage segmentation using a deep convolutional model
MD Hssayeni, MS Croock, AD Salman, HF Al-Khafaji… - Data, 2020 - mdpi.com
Traumatic brain injuries may cause intracranial hemorrhages (ICH). ICH could lead to
disability or death if it is not accurately diagnosed and treated in a time-sensitive procedure …
disability or death if it is not accurately diagnosed and treated in a time-sensitive procedure …
[HTML][HTML] Computed tomography images for intracranial hemorrhage detection and segmentation
M Hssayeni, M Croock, A Salman… - … segmentation using a …, 2020 - physionet.org
After traumatic brain injury (TBI), intracranial hemorrhage (ICH) may occur that could lead to
death or disability if it is not accurately diagnosed and treated in a time-sensitive procedure …
death or disability if it is not accurately diagnosed and treated in a time-sensitive procedure …
3D deep neural network segmentation of intracerebral hemorrhage: development and validation for clinical trials
Intracranial hemorrhage (ICH) occurs when a blood vessel ruptures in the brain. This leads
to significant morbidity and mortality, the likelihood of which is predicated on the size of the …
to significant morbidity and mortality, the likelihood of which is predicated on the size of the …
Automatic segmentation of intracerebral hemorrhage in CT images using encoder–decoder convolutional neural network
Intracerebral hemorrhage (ICH) is the most serious type of stroke, which results in a high
disability or mortality rate. Therefore, accurate and rapid ICH region segmentation is of great …
disability or mortality rate. Therefore, accurate and rapid ICH region segmentation is of great …
Deep network for the automatic segmentation and quantification of intracranial hemorrhage on CT
Background The ABC/2 method is usually applied to evaluate intracerebral hemorrhage
(ICH) volume on computed tomography (CT), although it might be inaccurate and not …
(ICH) volume on computed tomography (CT), although it might be inaccurate and not …
[HTML][HTML] Automatic hemorrhage segmentation on head CT scan for traumatic brain injury using 3D deep learning model
The most common cause of long-term disability and death in young adults is a traumatic
brain injury. The decision for surgical intervention for craniotomy is dependent on the injury …
brain injury. The decision for surgical intervention for craniotomy is dependent on the injury …
An optimal deep learning framework for multi-type hemorrhagic lesions detection and quantification in head CT images for traumatic brain injury
Abstract Traumatic Brain Injury (TBI) could lead to intracranial hemorrhage (ICH), which has
now been identified as a major cause of death after trauma if it is not adequately diagnosed …
now been identified as a major cause of death after trauma if it is not adequately diagnosed …
[HTML][HTML] A deep learning algorithm for automatic detection and classification of acute intracranial hemorrhages in head CT scans
Acute Intracranial hemorrhage (ICH) is a life-threatening disease that requires emergency
medical attention, which is routinely diagnosed using non-contrast head CT imaging. The …
medical attention, which is routinely diagnosed using non-contrast head CT imaging. The …
An optimal segmentation with deep learning based inception network model for intracranial hemorrhage diagnosis
RF Mansour, NO Aljehane - Neural Computing and Applications, 2021 - Springer
Abstract Traumatic Brain Injury (TBI) leads to intracranial hemorrhages (ICH), which is a
severe illness resulted in death if it is not properly diagnosed and treated in the earlier stage …
severe illness resulted in death if it is not properly diagnosed and treated in the earlier stage …
Detection and classification of intracranial haemorrhage on CT images using a novel deep-learning algorithm
JY Lee, JS Kim, TY Kim, YS Kim - Scientific reports, 2020 - nature.com
A novel deep-learning algorithm for artificial neural networks (ANNs), completely different
from the back-propagation method, was developed in a previous study. The purpose of this …
from the back-propagation method, was developed in a previous study. The purpose of this …