Towards Automated Brain Aneurysm Detection in TOF-MRA: Open Data, Weak Labels, and Anatomical Knowledge

Brain aneurysm detection in Time-Of-Flight Magnetic Resonance Angiography (TOF-MRA) has undergone drastic improvements with the advent of Deep Learning (DL). However, performances of supervised DL models heavily rely on the quantity of labeled samples, which are extremely costly to obtain. Here, we...

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Detalles Bibliográficos
Autores principales: Di Noto, Tommaso, Marie, Guillaume, Tourbier, Sebastien, Alemán-Gómez, Yasser, Esteban, Oscar, Saliou, Guillaume, Cuadra, Meritxell Bach, Hagmann, Patric, Richiardi, Jonas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931814/
https://www.ncbi.nlm.nih.gov/pubmed/35982364
http://dx.doi.org/10.1007/s12021-022-09597-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931814/
https://www.ncbi.nlm.nih.gov/pubmed/35982364
http://dx.doi.org/10.1007/s12021-022-09597-0

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