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Leveraging Uncertainty Estimates to Improve Segmentation Performance in Cardiac MR
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Year:
2021
Type:
conference-paper
Source:
Lecture notes in computer science
DOI:
10.1007/978-3-030-87735-4_3
Authors:
Tewodros Weldebirhan Arega,
Stéphanie Bricq,
Fabrice Meriaudeau
Institutions:
Université de Bourgogne,
Université Bourgogne Franche-Comté,
ImViA - Imagerie et Vision Artificielle
Language:
English
Topic:
Medical Image Segmentation Techniques
Subfield:
Computer Vision and Pattern Recognition
Field:
Computer Science
Domain:
Physical Sciences
Open Access status:
green
Funders:
Agence Nationale de la Recherche,
Université de Bourgogne
Awards:
G3010527862,
Automatic Classification of Cardiac Examinations after Contrast agent InjecTion
OpenAlex ID:
W3203638207
FWCI:
1.063
Cites:
23
Cited by:
15
Related to:
10