31 - Beyond the Patterns - Roger David Soberanis Mukul (TUM): An Uncertainty-based Graph Convolutional Network for Organ Segmentation Refinement/ClipID:33058 previous clip next clip

Recording date 2021-05-18

Via

Free

Language

English

Organisational Unit

Friedrich-Alexander-Universität Erlangen-Nürnberg

Producer

Friedrich-Alexander-Universität Erlangen-Nürnberg

It’s a great pleasure to announce an invited talk from TU Munich by Roger David Soberanis Mukul in Beyond the Patterns.

Abstract: Organ segmentation is an essential pre-processing step in different computer-assisted tasks, and currently, deep convolutional neural networks lead the state-of-the-art.  However, the nature of the medical images can lead to errors in the segmentation process, generating false negative and false positive regions in the results. Recent works have shown that the uncertainty of deep convolutional neural networks (CNN) can provide helpful insights about potential errors in the network’s predictions. Inspired by these works and the recent graph convolutional networks, we propose using the CNN’s uncertainty to formulate the refinement process as a semi-supervised graph learning problem. To validate our method, we refine the predictions of a 2D U-Net, trained on the NIH pancreas dataset and the spleen dataset of the medical segmentation decathlon. Finally, we perform a sensitivity analysis on the parameters of our proposal. 

Short Bio: Roger Soberanis is a PhD student at the Chair for Computer Aided Medical Procedures and Augmented Reality, Technical University of Munich.  He studied a bachelor’s in computer engineering and a master’s in computer science at the Mathematics faculty of the Autonomous University of Yucatan, Mexico.  His work focus on deep convolutional and graph-convolutional networks for medical applications, with a particular interest in medical image segmentation.  

References
Paper https://www.melba-journal.org/article/18135-an-uncertainty-driven-gcn-refinement-strategy-for-organ-segmentation

This video is released under CC BY 4.0. Please feel free to share and reuse.

For reminders to watch the new video follow on Twitter or LinkedIn. Also, join our network for information about talks, videos, and job offers in our Facebook and LinkedIn Groups.

Music Reference: 
Damiano Baldoni - Thinking of You (Intro)
Damiano Baldoni - Poenia (Outro)

More clips in this category "Friedrich-Alexander-Universität Erlangen-Nürnberg"

2021-10-21
Studon
protected  
2021-10-21
IdM-login
protected  
2021-10-21
IdM-login
protected  
2021-10-21
IdM-login
protected  
2021-10-21
IdM-login
protected  
2021-10-21
IdM-login
protected