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

Ker, Justin; Singh, Satya P; Bai, Yeqi; Rao, Jai; Lim, Tchoyoson; Wang, Lipo

Ker, Justin; Singh, Satya P; Bai, Yeqi; Rao, Jai; Lim, Tchoyoson; Wang, Lipo.

Affiliation

Ker J; Neurosurgery, National Neuroscience Institute, Singapore 308433, Singapore. justinker@gmail.com.
Singh SP; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore. satya@ntu.edu.sg.
Bai Y; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore. BA0001QI@e.ntu.edu.sg.
Rao J; Neurosurgery, National Neuroscience Institute, Singapore 308433, Singapore. jai.rao@singhealth.com.sg.
Lim T; Neuroradiology, National Neuroscience Institute, Singapore 308433, Singapore. tchoyoson.lim@singhealth.com.sg.
Wang L; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore. ELPWang@ntu.edu.sg.

Sensors (Basel) ; 19(9)2019 May 10.

Article in En | MEDLINE | ID: mdl-31083289

Subject(s)

Neural Networks, Computer; Algorithms; Brain/diagnostic imaging; Humans; Imaging, Three-Dimensional/methods; Machine Learning; Magnetic Resonance Imaging/methods

Key words

3D convolutional neural networks; CT brain; brain hemorrhage; machine learning

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Sensors (Basel) Year: 2019 Type: Article Affiliation country: Singapore

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