July 10th at 10:00-11:30 EDT
Speaker: Dr. Reza Forghani
Artificial Intelligence in Medical Imaging: Image-Based Biomarkers & Beyon
This presentation will provide and overview of image-based quantitative features (radiomics) and machine learning for prediction modeling and precisions diagnostics. The presentation will conclude by discussing some of the broader potential applications of artificial intelligence in medical imaging.
July 11th at 10:00-11:30 AM EDT
Instructors: Dr. Peter Watson, Yujing Zou, Luca Weishaupt
Primer on Ultrasound Imaging
Deep learning methods have shown great success in tackling challenging computer vision tasks in contexts This talk will cover the basic principles of US imaging, and possible image artifacts you may encounter.
Mask-RCNN a popular instance segmentation architecture
A high-level introduction to Mask-RCNN, how it works, and its strengths and weaknesses.
Mask-RCNN on 2018 Data Science Bowl
A worked-out example of nucleus segmentation using Mask-RCNN.