Work

Learning to Segment When Experts Disagree

Year: 2020

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-59710-8_18

Authors: Le Zhang, Ryutaro Tanno, Kevin Bronik, Chen Jin, Parashkev Nachev, Frederik Barkhof, Olga Ciccarelli, Daniel C. Alexander

Institutions: National Hospital for Neurology and Neurosurgery, UCL Queen Square Institute of Neurology, University College London, Microsoft Research (United Kingdom)

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Engineering and Physical Sciences Research Council

Awards: G2810537366, G3953918217

OpenAlex ID: W3091120243

FWCI: 1.157

Cites: 24

Cited by: 19

Related to: 10