Machine Learning Based Miscellaneous Objects Detection with Application to Cancer Images

Computer Science

• Object Detection 100%
• Machine Learning 100%
• Learning System 100%
• Deep Convolutional Neural Networks 50%
• Boosting Algorithms 33%
• Image Synthesis 33%
• adaptive boosting 33%
• Research Direction 16%
• Neural Network Model 16%
• Generative Adversarial Networks 16%
• Image Segmentation 16%
• Supervised Learning 16%
• Annotation 16%
• Complex Background 16%
• Imbalanced Data 16%
• Image Processing 16%
• Artificial Intelligence 16%
• Computer Vision 16%
• Technological Development 16%

Biochemistry, Genetics and Molecular Biology

• Artificial Intelligence 100%