BEGIN:VCALENDAR VERSION:2.0 PRODID:-//KnowAFest//Campus Events//EN BEGIN:VEVENT UID:eventsphere-57254@www.knowafest.com DTSTAMP:20261008T144248Z DTSTART:20201130T183000Z DTEND:20201205T182959Z SUMMARY:Medical Image Segmentation and Classification Using Deep Learning M odel 2020 LOCATION:Kongu Engineering College\, Erode DESCRIPTION:

Computer Vision technology has been evolving continuously fo r the past four decades and today it is dominated by Deep learning models. Nowadays many applications like image classification\, face recognition\, identifying objects in images\, video analysis and classification\, and i mage processing in robots and autonomous vehicles use the advanced methods from Deep learning. As many computer vision tasks require intelligent seg mentation of an image\, to understand what is in the image and enable easi er analysis of each part\, the medical image segmentation techniques use m odels of deep learning to understand and can learn patterns in visual inpu ts in order to learn object classes that make up an image.
\nThe most commonly used deep learning architectures in the field of image understan ding are AlexNet\, VGG Net\, Inception\, ResNet and U-NET. Models of deep learning for computer vision are typically trained and executed on special ized graphics processing units (GPUs) to reduce computation time. Convolut ional networks have many Hyper-parameters that could impact performance. I t is necessary to determine the hyperparameters that provide the best perf ormance for the problem what we are considering. This faculty development programme aims to explore the recent development and deep learning models in the field of medical image analysis. This will be an eye-opener to buil d the computational skills required to build deep learning models for medi cal images.

URL:https://www.knowafest.com/medical-image-segmentation-and-classification -using-deep-learning-model-2020 END:VEVENT END:VCALENDAR