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Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function
Xiaobin Hu, Hongwei Li, Yu Zhao +3
For many segmentation tasks, especially for the biomedical image, the topological prior is vital information which is useful to exploit. The containment/nesting is a typical inter-…
Multi-level Activation for Segmentation of Hierarchically-nested Classes
Marie Piraud, Anjany Sekuboyina, Bjoern H. Menze
For many biological image segmentation tasks, including topological knowledge, such as the nesting of classes, can greatly improve results. However, most `out-of-the-box' CNN model…
DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes
Giles Tetteh, Velizar Efremov, Nils D. Forkert +6
We present DeepVesselNet, an architecture tailored to the challenges faced when extracting vessel networks or trees and corresponding features in 3-D angiographic volumes using dee…