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Week 5 – Ultrasound and instance segmentation

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McMedHacks

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Activités de formation

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.

Workshop

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.

Activities

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Featured project

Delirium is a condition that, when left unmanaged, is associated with increased mortality and longer hospitalization of patients in intensive care; therefore, its detection should be an integral part of care. It is characterized by confusion, anxiety and reduced alertness. It is estimated that 75% of delirium cases are not detected on admission to hospital. Detecting such an acute condition requires frequent monitoring of participants, which is labor intensive and requires expertise.

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