![](/assets/images/picto-drapeau-france-3a76576a5d60a512053b4612ab58dae5.png)
4. Segmentation stage with U-Net
4.1 Choice of architecture
Segmentation is the first step in our processing chain, illustrated in figure 1 . It is applied by considering the volume slice by slice, so as to process 2D images. A convolutional U-Net was chosen for its ability to operate with relatively few training images and to enable precise segmentation. This type of neural network was developed in 2015 for biomedical image segmentation at the Department of Computer Science at the University of Freiburg in...
Exclusive to subscribers. 97% yet to be discovered!
You do not have access to this resource.
Click here to request your free trial access!
Already subscribed? Log in!
![](/assets/images/logo-eti-286623ed91fa802ce039246e516e5852.png)
The Ultimate Scientific and Technical Reference
This article is included in
Analysis and Characterization
This offer includes:
Knowledge Base
Updated and enriched with articles validated by our scientific committees
Services
A set of exclusive tools to complement the resources
Practical Path
Operational and didactic, to guarantee the acquisition of transversal skills
Doc & Quiz
Interactive articles with quizzes, for constructive reading
Segmentation stage with U-Net
Bibliography
- (1) - ASTM International - ASTM E2422-17, Standard Digital Reference Images for Inspection of Aluminum Castings, - ASTM International, West Conshohocken, PA (2017), http://www.astm.org
- (2) - SUN (W.),...
Exclusive to subscribers. 97% yet to be discovered!
You do not have access to this resource.
Click here to request your free trial access!
Already subscribed? Log in!
![](/assets/images/logo-eti-286623ed91fa802ce039246e516e5852.png)
The Ultimate Scientific and Technical Reference