Active, continual fine tuning of convolutional neural networks for reducing annotation effortsL Active continual fine tuningcnnrae

Engineering & Materials Science

• Convolutional neural networks 87%
• Tuning 74%
• Medical imaging 72%
• Transfer learning 38%
• Problem-Based Learning 37%
• Large dataset 34%
• Computer vision 27%
• Availability 22%
• Costs 12%

Medicine & Life Sciences

• Diagnostic Imaging 100%
• Datasets 76%
• Problem-Based Learning 63%
• Computer Neural Networks 63%
• Machine Learning 54%
• Costs and Cost Analysis 30%