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Advancement and trends in medical image analysis using deep learning
June 14 @ 2:00 pm - 3:00 pm
Co-sponsored by: University of British Columbia
IEEE EMBS is co-sponsoring a talk with UBC by Dr. Fausto Milletari, NVIDIA.
Abstract: In this talk, I will discuss advancements and trends in medical image analysis using deep learning. I will discuss V-Net and the impact of the fully convolutional neural network for 3D image segmentation and then highlight limitations and shortcoming of this class of algorithms. I will then present novel approaches and ongoing research aiming to integrate statistical shape prior into CNN-based predictions and our latest MICCAI contributions, termed Coarse to Fine Context Memory (CFCM) that aims to integrate features extracted at different depths through a memory mechanism based on RNNs. Finally, I will talk about TOMAAT, an open source package allowing easy deployment of research DL algorithms in the cloud.
Speaker(s): Dr. Milletari,
Room: Rm 288, ICICS Board Room, 2nd floor
2366 Main Mall, University of British Columbia
Vancouver, British Columbia