AIMC Topic: Hematoma, Epidural, Cranial

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Predicting Epidural Hematoma Expansion in Traumatic Brain Injury: A Machine Learning Approach.

The neuroradiology journal Nov 24, 2024
IntroductionTraumatic brain injury (TBI) is a leading cause of disability and mortality worldwide, with epidural hematoma (EDH) being a severe consequence. This study focuses on identifying factors predicting EDH volume changes in TBI patients and de...
Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Adult Male Middle Aged Adolescent Child, Preschool Child Brain Injuries, Traumatic Hematoma, Epidural, Cranial
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Computer tomography-based radiomics combined with machine learning for predicting the time since onset of epidural hematoma.

International journal of legal medicine Nov 18, 2024
Estimation of the age of epidural hematoma (EDH) is a challenge in clinical forensic medicine, and this issue has yet to be conclusively resolved. The advantages of objectivity and non-invasiveness make computing tomography (CT) imaging an potential ...
Humans Machine Learning Algorithms Tomography, X-Ray Computed Female Aged Young Adult Adult Radiomics Male Middle Aged Adolescent Time Factors Hematoma, Epidural, Cranial
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Intelligent Recognition and Segmentation of Blunt Craniocerebral Injury CT Images Based on DeepLabV3+ Model.

Fa yi xue za zhi Oct 25, 2024
OBJECTIVES: To achieve intelligent recognition and segmentation of common craniocerebral injuries (hereinafter referred to as "segmentation") by training convolutional neural network DeepLabV3+ model based on CT images of blunt craniocerebral injury ...
Humans Neural Networks, Computer Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Skull Fractures Forensic Medicine Craniocerebral Trauma Head Injuries, Closed Hematoma, Subdural Brain Contusion Hematoma, Epidural, Cranial
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