Image Thresholding Improves 3-Dimensional Convolutional Neural Network Diagnosis of Different Acute Brain Hemorrhages on Computed Tomography Scans

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 to perform medical image classification and assist clinicians in diagnosing radiological scans. In this paper, we apply 3-dimensio...

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Bibliographic Details
Main Authors: Justin Ker, Satya P. Singh, Yeqi Bai, Jai Rao, Tchoyoson Lim, Lipo Wang
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Sensors
Subjects:
3D convolutional neural networks
machine learning
CT brain
brain hemorrhage
Online Access:https://www.mdpi.com/1424-8220/19/9/2167

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https://www.mdpi.com/1424-8220/19/9/2167

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