Medical Image Segmentation using Deep Learning approaches (Transformers in Medical Segmentation)

IEEE SAC Hyderabad Section in association with IEEE LMAG Hyderabad Section organizing a webinar on 23rd Sept 2023 from 6PM to 7PM on "Medical Image Segmentation using Deep Learning approaches (Transformers in Medical Segmentation)" through Google Meet.
Abstract:
In this talk, we would get an introduction to Deep Learning based segmentation of Medical images. A brief overview of UNets would be covered to introduce the audience to segmentation architectures.The second part of the talk would be on Attention mechanism. Attention mechanism has revolutionized Deep Learning algorithms, especially in NLP domain and more recently in Computer Vision tasks.In this talk, after a brief introduction to attention blocks (from NLP context) we start with some of the attention approachesor computer vision tasks. We dive in more detail on couple of attention blocks – criss-cross attention and attention-augmented-convolution.Some of the active frontiers in attention blocks (deformable attention) would be finally discussed to give some insights on current research directions.
Speaker:
Dr. Kumar Rajamani is Senior Manager Algorithm at KLA Tencor. Prior to this, he was Senior Scientist at Philips Research.
He completed his Postdoctoral Researcher at Institute of Medical Informatics, University of Luebeck,Germany.
His research during the Postdoctoral stint was on Medical Deep learning, specifically advanced architectures for medical image segmentation (COVID-19 lesion segmentation) using attention mechanisms.
Kumar was earlier with Robert Bosch, GE Global Research (GRC), Philips Research and Amrita University. His research focus includes Semi-conductor Wafer Inspection, Metrology, Image Analysis,MedicalImaging. He has nine patents to his credit. Kumar completed his Ph.D. in Biomedical Engineering from University of Bern, Switzerland.
Feel free to contact us ([email protected])
Saikumar Tara, SAC Chair, Hyderabad Section
K M M Rao, LMAG Chair, Hyderabad Section
Co-sponsored by: IEEE SAC Hyderabad Section and IEEE LMAG Hyderabad Section
Speaker(s): Dr Kumar Rajamani,
Virtual: https://events.vtools.ieee.org/m/374252