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Recording date 2020-10-12

Course

Deep Learning

Language

English

Organisational Unit

Friedrich-Alexander-Universität Erlangen-Nürnberg

Producer

Friedrich-Alexander-Universität Erlangen-Nürnberg

Deep Learning - Segmentation and Object Detection Part 2

In this video, we discuss ideas on how to improve on image segmentation. In particular skip connections as used in the U-Net have been applied very successfully here. Also, we, look into other advanced methods such as stacked hourglasses, convolutional pose machines, and conditional random fields in combination with deep learning.

For reminders to watch the new video follow on Twitter or LinkedIn.

Additional References
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation
X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery

Video References:
U-Net
Body Part Segmentation

Further Reading:
A gentle Introduction to Deep Learning

Up next

Maier, Andreas
Prof. Dr. Andreas Maier
2020-10-12
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Maier, Andreas
Prof. Dr. Andreas Maier
2020-10-12
IdM-login
Maier, Andreas
Prof. Dr. Andreas Maier
2020-10-12
IdM-login
Maier, Andreas
Prof. Dr. Andreas Maier
2020-10-12
IdM-login
Maier, Andreas
Prof. Dr. Andreas Maier
2020-10-12
IdM-login

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