Fighting COVID-19 with Machine Learning (Ching Lam Choi) (Hong Kong) is an English session in the online PyCon HK 2020 Spring.
In this talk, I will introduce my open source Python project, COVID-19 chest CT segmentation with PyTorch. I leverage the UNet model — a Fully Convolutional encoder-decoder network — for multi-class medical segmentation. Through UNet, I successfully detect and localise COVID-19 symptoms, including ground-glass, consolidation and pleural effusion, from axial chest CT slices, using open source datasets and annotations.
Speaker Bio: Choi Ching Lam
Choi Ching Lam is a high school programmer from Hong Kong, keenly interested in Computer Vision and Scientific Computing. She is an open source enthusiast with a deep appreciation for Python and Julia. Presently an intern at NVIDIA’s AI Tech Center, Ching Lam aspires to become a Machine Learning researcher.
Session Time in HKT: 10:00 AM on 8 May 2020 Friday.
Session Time in GMT: 2:00 AM on 8 May 2020 Friday.