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 …
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) …
Image thresholding improves 3-dimensional convolutional neural network diagnosis of different acute brain hemorrhages on computed tomography scans
Intracranial hemorrhage is a medical emergency that requires urgent diagnosis and
immediate treatment to improve patient outcome. Machine learning algorithms can be used …
immediate treatment to improve patient outcome. Machine learning algorithms can be used …
Shallow 3D CNN for detecting acute brain hemorrhage from medical imaging sensors
Successive layers in convolutional neural networks (CNN) extract different features from
input images. Applications of CNNs to detect abnormalities in the 2D images or 3D volumes …
input images. Applications of CNNs to detect abnormalities in the 2D images or 3D volumes …
[PDF][PDF] Automatic medical image classification and abnormality detection using k-nearest neighbour
RJ Ramteke, KY Monali - International Journal of Advanced Computer …, 2012 - Citeseer
This research work presents a method for automatic classification of medical images in two
classes Normal and Abnormal based on image features and automatic abnormality …
classes Normal and Abnormal based on image features and automatic abnormality …
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 …
[HTML][HTML] Automated delineation of stroke lesions using brain CT images
Computed tomographic (CT) images are widely used for the identification of abnormal brain
tissue following infarct and hemorrhage in stroke. Manual lesion delineation is currently the …
tissue following infarct and hemorrhage in stroke. Manual lesion delineation is currently the …
A method for automatic detection and classification of stroke from brain CT images
M Chawla, S Sharma, J Sivaswamy… - … conference of the …, 2009 - ieeexplore.ieee.org
Computed tomographic (CT) images are widely used in the diagnosis of stroke. In this
paper, we present an automated method to detect and classify an abnormality into acute …
paper, we present an automated method to detect and classify an abnormality into acute …
[PDF][PDF] Automatic detection and classification of brain hemorrhages
M Al-Ayyoub, D Alawad, K Al-Darabsah… - WSEAS transactions on …, 2013 - wseas.us
Computer-aided diagnosis systems have been the focus of many research endeavors. They
are based on the idea of processing and analyzing images of different parts of the human …
are based on the idea of processing and analyzing images of different parts of the human …
[Retracted] Deep Learning‐Based Detection and Diagnosis of Subarachnoid Hemorrhage
X Gou, X He - Journal of Healthcare Engineering, 2021 - Wiley Online Library
Subarachnoid hemorrhage (SAH) is one of the critical and severe neurological diseases
with high morbidity and mortality. Head computed tomography (CT) is among the preferred …
with high morbidity and mortality. Head computed tomography (CT) is among the preferred …