A Survey of Machine Learning Techniques Leveraging Brightness Indicators for Image Analysis in Biomedical Applications

Keyphrases

• Analyzing Methods 33%
• Biomedical Applications 100%
• Biomedical Field 33%
• Comprehensive Survey 33%
• Diagnostic Accuracy 33%
• Diagnostic Efficiency 33%
• Feature Detection 33%
• Image Analysis 100%
• Machine Learning Approach 33%
• Machine Learning Techniques 100%
• Medical Image Classification 33%
• Medical Image Enhancement 33%
• Medical Image Segmentation 33%
• Noise Features 33%
• Noise Reduction 33%
• Open Research 33%
• Promising Direction 33%
• Recent Techniques 33%
• Segmentation Classification 33%

Computer Science

• Clinical Setting 50%
• Diagnostic Accuracy 50%
• Features Detection 50%
• Image Analysis 100%
• Image Classification 50%
• Image Enhancement 50%
• Image Segmentation 50%
• Interpretability 50%
• Learning System 50%
• Machine Learning 50%
• Machine Learning Technique 100%
• Machine Learning-Based Approach 50%
• Open Research 50%
• Research Question 50%

Engineering

• Biomedical Application 100%
• Biomedical Field 50%
• Features Detection 50%
• Image Analysis 100%
• Learning Approach 50%
• Learning System 50%
• Limitations 50%
• Machine Learning Method 50%
• Machine Learning Technique 100%
• Medical Image Segmentation 50%