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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書目詳細資料
Main Authors:	Ker, Justin, Bai, Yeqi, Rao, Jai, Lim, Tchoyoson, Singh, Satya Prakash, Wang, Lipo
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2019
主題:	Machine Learning 3D Convolutional Neural Networks DRNTU::Engineering::Electrical and electronic engineering
在線閱讀:	https://hdl.handle.net/10356/105923 http://hdl.handle.net/10220/48796 http://dx.doi.org/10.3390/s19092167
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