Until recently, segmentation required large, compute-intensive neural networks. This made it difficult to run these deep learning models without a connection to cloud servers. In their latest work ...

This summary was written in Fall 2018 as a part of the CMPT 880 Special Topics in AI: Medical Imaging Meets Machine Learning course.

Image processing is used in a variety of use cases today, including visualisation, pattern recognition, segmentation, image information extraction, classification, and many others. Image processing ...

Cardiovascular diseases are a leading health concern in Hong Kong, prompting many to undergo regular heart check-ups for ...

While image segmentation technology is not new, SAM is noteworthy for its ability to identify objects not present in its training dataset and its partially open approach.Also, the release of the ...