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

• Main Authors: Ker, Justin, Bai, Yeqi, Rao, Jai, Lim, Tchoyoson, Singh, Satya Prakash, Wang, Lipo
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2019
• Subjects: Machine Learning; 3D Convolutional Neural Networks; DRNTU::Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/105923; http://hdl.handle.net/10220/48796; http://dx.doi.org/10.3390/s19092167
• Institution: Nanyang Technological University

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...