CVPR Daily - Tuesday

This process proved a success and was necessary because the training set, the reference data with the cell points classification, was also very small at around 100 images. Shahira required a dataset with this location and classification of cells and with enough context in it. Most datasets have small patches and do not provide the context needed to capture the spatial structures and distributions. This paper is the first step toward further work to support other downstream tasks, which will help to propel this model into real-world application. Furthermore, it can enhance our understanding of the tumor microenvironment, modeling its complex structures and analyzing and interpreting different characteristics to gain insights into tumor growth. It can also contribute to representation learning. Shahira hails from Alexandria in Egypt, the largest city on the Mediterranean coast, but has lived in America for seven years. What led her to leave the hot desert climate behind for the frenzy of New York? “ I did my undergrad, and then I did a master’s degree in computer architecture, and I realized I didn’t like it! ” she reveals. “ I was working in a software company for a while and then came across computer vision and AI , and I was so excited. I thought, how do I get to do this? The only way was to go somewhere and start studying it. I’m now in the final year of my PhD and looking for a postdoc position! ” Shahira is a great catch! To learn more about her work, visit Poster 316 this morning from 10:30-12:30 in the West Exhibit Hall. 11 DAILY CVPR Tuesday Topology-GuidedMulti- Class …