Deep Learning for Medical Image-Based Cancer Diagnosis

Computer Science

• Accuracy 14%
• Application 28%
• Artificial Intelligence 14%
• Batch Normalization 14%
• Complexity 14%
• Computer Vision 14%
• Data Augmentation 14%
• Database 14%
• Deep Learning 100%
• Deep Neural Network 14%
• Detection 14%
• Diagnosis 100%
• Ensemble Learning 28%
• Few-Shot Learning 14%
• Graph Neural Network 14%
• Histopathological Image 14%
• Hotspot 14%
• Image Classification 14%
• Image Fusion 14%
• Image Reconstruction 14%
• Image Segmentation 14%
• Image Synthesis 14%
• Initialization 14%
• Learning Technology 28%
• Medical Imaging 14%
• Models 28%
• Multimodal Data Fusion 14%
• Rapid Development 14%
• Roles 14%
• Special Attention 14%
• Standards 14%
• Timeliness 14%
• Training Model 14%
• Transfer Learning 14%
• Ultrasound 14%
• Vision Transformer 28%

Medicine and Dentistry

• Accuracy 10%
• Analysis 10%
• Attention 10%
• Cancer Diagnosis 100%
• Development 10%
• Diagnostic Imaging 10%
• Face 10%
• Image Reconstruction 10%
• Intelligence 10%
• Learning 100%
• Magnetic Resonance Imaging 10%
• Malignant Neoplasm 20%
• Transfer of Learning 10%
• Vision 30%
• X-Ray 10%

Biochemistry, Genetics and Molecular Biology

• Accuracy 10%
• Artificial Intelligence 10%
• Attention 10%
• Classification 10%
• Data Base 10%
• Development 10%
• Image Registration 10%
• Learning 100%
• Magnetic Resonance Imaging 10%
• Reading 10%
• Reconstruction 10%
• Synthesis 10%
• Training 10%
• Transfer of Learning 10%
• Ultrasound Computed Tomography 10%
• Vision 30%
• Weight 10%
• X Ray 10%