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Chan Vese Attention U-Net - An Attention Mechanism for Robust Segmentation

Offered By: Conference GSI via YouTube

Tags

Image Segmentation Courses Deep Learning Courses Computer Vision Courses Medical Imaging Courses Attention Mechanisms Courses U-Net Courses

Course Description

Overview

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Explore an innovative attention mechanism for robust segmentation in this 20-minute conference talk from GSI. Learn about the Chan Vese Attention U-Net, a novel approach that enhances segmentation accuracy and reliability across various applications. Discover how this advanced technique combines the strengths of the Chan-Vese model with attention mechanisms to improve U-Net performance. Gain insights into the architecture, implementation, and potential benefits of this cutting-edge segmentation method for computer vision and image processing tasks.

Syllabus

Chan Vese Attention U-Net: An attention mechanism for robust segmentation


Taught by

Conference GSI

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