Automated detection and screening of traumatic brain injury (TBI) using computed tomography images: a comprehensive review and future perspectives

A Gudigar, U Raghavendra, A Hegde… - International journal of …, 2021 - mdpi.com
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 …

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) …

Image thresholding improves 3-dimensional convolutional neural network diagnosis of different acute brain hemorrhages on computed tomography scans

J Ker, SP Singh, Y Bai, J Rao, T Lim, L Wang - Sensors, 2019 - mdpi.com
Intracranial hemorrhage is a medical emergency that requires urgent diagnosis and
immediate treatment to improve patient outcome. Machine learning algorithms can be used …

Shallow 3D CNN for detecting acute brain hemorrhage from medical imaging sensors

SP Singh, L Wang, S Gupta, B Gulyas… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
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 …

[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 …

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 …

[HTML][HTML] Automated delineation of stroke lesions using brain CT images

CR Gillebert, GW Humphreys, D Mantini - NeuroImage: Clinical, 2014 - Elsevier
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 …

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 …

[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 …

[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 …