WorksheetsBME_lecture2
Total questions: 10
Worksheet time: 5mins
What is NOT one of the challenges in AI medical images?
Doctors can easily make annotation for large scale dataset
Noisy labels from multiple experts
Privacy and legal issues
Class imbalance
What is NOT the classic medical imaging problem?
Registration
Classification
Segmentation
Federated learning
Example of uni-modal registration?
Cardiac MRI
T1w-T2w MRI
CT-MRI
MRI-Ultrasound
One of the SOTA networks for medical image segmentation?
SE-ResNet
U-Net (and its variants)
Inception-Net
Mobile-Net
A technique to transfer knowledge from pre-trained model (from large scale natural images) to be used for medical images
Curriculum learning
Federated learning
Transfer learning
Multi-modal learning
What is the benefit of domain adaptation in medical images?
Increase the domain shift
Reducing the domain generalization
Transfer knowledge from pre-trained model from large scale natural images
Improve the performance of a target model with insufficient or lack of annotated data
Which one does NOT require manually annotated labels?
Ensemble learning
Supervised learning
Self-supervised learning
Multi-modal learning
What is PACS?
picture archiving and communications systems
picture asynchronous constellation systems
patient archive and communication system
patient as synced and computer system
What is the benefit of federated learning?
Send all patients details to the central system
Share the privacy protocols
Train the data without actually sending data to the central node.
Heavy computing process
which one is not biomedical image?
Whole Slide Images
Fundus image
SPECT image
Depth image
