Work

Random 2.5D U-net for Fully 3D Segmentation

Year: 2019

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-33327-0_19

Authors: Christoph Angermann, Markus Haltmeier

Institution: Universität Innsbruck

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2980005918

FWCI: 0.733

Cites: 12

Cited by: 18

Related to: 20