Comparison of medical image classification accuracy among three machine learning methods
Author:
Affiliation:
1. Department of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan
2. Graduate School of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan
Publisher
IOS Press
Subject
Electrical and Electronic Engineering,Condensed Matter Physics,Radiology, Nuclear Medicine and imaging,Instrumentation,Radiation
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