Alert button
Picture for Thomas Bornschloegl

Thomas Bornschloegl

Alert button

Dealing with Topological Information within a Fully Convolutional Neural Network

Add code
Bookmark button
Alert button
Jun 27, 2019
Etienne Decencière, Santiago Velasco-Forero, Fu Min, Juanjuan Chen, Hélène Burdin, Gervais Gauthier, Bruno Laÿ, Thomas Bornschloegl, Thérèse Baldeweck

Figure 1 for Dealing with Topological Information within a Fully Convolutional Neural Network
Figure 2 for Dealing with Topological Information within a Fully Convolutional Neural Network
Figure 3 for Dealing with Topological Information within a Fully Convolutional Neural Network
Figure 4 for Dealing with Topological Information within a Fully Convolutional Neural Network

A fully convolutional neural network has a receptive field of limited size and therefore cannot exploit global information, such as topological information. A solution is proposed in this paper to solve this problem, based on pre-processing with a geodesic operator. It is applied to the segmentation of histological images of pigmented reconstructed epidermis acquired via Whole Slide Imaging.

* Advanced Concepts for Intelligent Vision Systems. ACIVS 2018. Lecture Notes in Computer Science, vol 11182. Springer, Cham  
* International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2018) 
Viaarxiv icon
Github IconAccess Paper or Ask Questions
Twitter IconFacebook IconLinkedin IconWhatsapp IconMessenger Icon