Detection of Tumor Cell Spheroids from Co-cultures Using Phase Contrast Images and Machine Learning Approach

Keyphrases

• Machine Learning Approach 100%
• Image Quality 100%
• 3D Cell Culture 100%
• Image Learning 100%
• Phase-contrast Image 100%
• Tumor Cell Spheroid 100%
• Textural Features 50%
• Training Data 50%
• Microscopy 50%
• Cell Biology 50%
• Development Research 50%
• Drug Development 50%
• Local Features 50%
• Segmentation Approach 50%
• Learning Framework 50%
• Statistical Features 50%
• 2D Phase 50%
• Image Acquisition 50%
• Highest Weight 50%
• Automated Image Analysis 50%
• Computer Vision Methods 50%
• Molecular Labeling 50%
• Acquisition Speed 50%
• Appearance Features 50%
• Automated Method 50%
• Existing State 50%
• Low SNR 50%
• Random Forest Classifier 50%
• Phase Contrast Imaging 50%
• Superpixel 50%
• Blind Segmentation 50%
• Occlusion 50%

INIS

• images 100%
• machine learning 100%
• detection 100%
• tumor cells 100%
• spheroids 100%
• data 40%
• cell cultures 40%
• biology 20%
• optimization 20%
• speed 20%
• learning 20%
• weight 20%
• labelling 20%
• prices 20%
• forests 20%
• drugs 20%
• resolution 20%
• randomness 20%
• trade 20%
• image processing 20%
• computers 20%
• microscopy 20%
• vision 20%

Computer Science

• Machine Learning Approach 100%
• Image Quality 50%
• Segmentation Approach 50%
• Learning Framework 50%
• Image Acquisition 50%
• Superpixel 50%
• Random Forest Classifier 50%
• 3D Imaging 50%
• Image Analysis 50%
• local feature 50%
• Training Data 50%
• Statistical Feature 50%
• Computer Vision 50%