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Titel:

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.

Dokumenttyp:
Journal Article
Autor(en):
Sudre, Carole H; Van Wijnen, Kimberlin; Dubost, Florian; Adams, Hieab; Atkinson, David; Barkhof, Frederik; Birhanu, Mahlet A; Bron, Esther E; Camarasa, Robin; Chaturvedi, Nish; Chen, Yuan; Chen, Zihao; Chen, Shuai; Dou, Qi; Evans, Tavia; Ezhov, Ivan; Gao, Haojun; Girones Sanguesa, Marta; Gispert, Juan Domingo; Gomez Anson, Beatriz; Hughes, Alun D; Ikram, M Arfan; Ingala, Silvia; Jaeger, H Rolf; Kofler, Florian; Kuijf, Hugo J; Kutnar, Denis; Lee, Minho; Li, Bo; Lorenzini, Luigi; Menze, Bjoern; Mo...     »
Abstract:
Imaging markers of cerebral small vessel disease provide valuable information on brain health, but their manual assessment is time-consuming and hampered by substantial intra- and interrater variability. Automated rating may benefit biomedical research, as well as clinical assessment, but diagnostic reliability of existing algorithms is unknown. Here, we present the results of the VAscular Lesions DetectiOn and Segmentation (Where is VALDO?) challenge that was run as a satellite event at the int...     »
Zeitschriftentitel:
Med Image Anal
Jahr:
2024
Band / Volume:
91
Volltext / DOI:
doi:10.1016/j.media.2023.103029
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/37988921
Print-ISSN:
1361-8415
TUM Einrichtung:
Professur für AI for Image-Guided Diagnosis and Therapy (Prof. Wiestler)
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