Automated Segmentation and Severity Analysis of Subdural Hematoma for Patients with Traumatic Brain Injuries is a research paper published in Diagnostics (2020). On theSindex it has a DataRank of 0. It has been cited 38 times.
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National Science Foundation
Grant: 1500124
PFI: AIR-TT: Prototype Scale-up for Traumatic Pelvic and Abdominal Injury Decision Support System (DSS)
National Institutes of Health
Grant: GM070499
National Institutes of Health
Grant: LM012946-01
National Institutes of Health
Grant: 1F31LM012946-01A1
Automated Decision Support System for Traumatic Brain Injury through Image Processing and Machine Learning Approaches
FWCI
1.67
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals
Additional file 1 of A deep learning framework for automated detection and quantitative assessment of liver trauma
Additional file 1 of A deep learning framework for automated detection and quantitative assessment of liver trauma