[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 …
[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 …
CHSNet: Automatic lesion segmentation network guided by CT image features for acute cerebral hemorrhage
B Xu, Y Fan, J Liu, G Zhang, Z Wang, Z Li… - Computers in Biology …, 2023 - Elsevier
Stroke is a cerebrovascular disease that can lead to severe sequelae such as hemiplegia
and mental retardation with a mortality rate of up to 40%. In this paper, we proposed an …
and mental retardation with a mortality rate of up to 40%. In this paper, we proposed an …
Deep learning for hemorrhagic lesion detection and segmentation on brain CT images
L Li, M Wei, BO Liu, K Atchaneeyasakul… - IEEE journal of …, 2020 - ieeexplore.ieee.org
Stroke is an acute cerebral vascular disease that is likely to cause long-term disabilities and
death. Immediate emergency care with accurate diagnosis of computed tomographic (CT) …
death. Immediate emergency care with accurate diagnosis of computed tomographic (CT) …
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] Automated hematoma segmentation and outcome prediction for patients with traumatic brain injury
Traumatic brain injury (TBI) is a major cause of death and disability worldwide. Automated
brain hematoma segmentation and outcome prediction for patients with TBI can effectively …
brain hematoma segmentation and outcome prediction for patients with TBI can effectively …
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 …
A fast and fully-automated deep-learning approach for accurate hemorrhage segmentation and volume quantification in non-contrast whole-head CT
This project aimed to develop and evaluate a fast and fully-automated deep-learning
method applying convolutional neural networks with deep supervision (CNN-DS) for …
method applying convolutional neural networks with deep supervision (CNN-DS) for …
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 …
Improving sensitivity on identification and delineation of intracranial hemorrhage lesion using cascaded deep learning models
Highly accurate detection of the intracranial hemorrhage without delay is a critical clinical
issue for the diagnostic decision and treatment in an emergency room. In the context of a …
issue for the diagnostic decision and treatment in an emergency room. In the context of a …