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) …
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 …
[HTML][HTML] Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks
V Abramova, A Clerigues, A Quiles… - … Medical Imaging and …, 2021 - Elsevier
Hemorrhagic stroke is the condition involving the rupture of a vessel inside the brain and is
characterized by high mortality rates. Even if the patient survives, stroke can cause …
characterized by high mortality rates. Even if the patient survives, stroke can cause …
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 …
Detecting hemorrhage types and bounding box of hemorrhage by deep learning
ÖF Ertuğrul, MF Akıl - Biomedical Signal Processing and Control, 2022 - Elsevier
Intracranial hemorrhage (ICH) a major health problem and the most common imaging
method in ICH is computed tomography (CT). Detecting and locating it can help clinicians …
method in ICH is computed tomography (CT). Detecting and locating it can help clinicians …
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 …
Brain stroke classification and segmentation using encoder-decoder based deep convolutional neural networks
Accurate diagnosis of brain stroke, classification and segmentation of the stroke are
extremely important for physicians to focus on specific points of the brain and apply the right …
extremely important for physicians to focus on specific points of the brain and apply the right …
Neuroimaging and deep learning for brain stroke detection-A review of recent advancements and future prospects
Background and objective In recent years, deep learning algorithms have created a massive
impact on addressing research challenges in different domains. The medical field also …
impact on addressing research challenges in different domains. The medical field also …