MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction

BACKGROUND: Unsupervised learning can discover various unseen abnormalities, relying on large-scale unannotated medical images of healthy subjects. Towards this, unsupervised methods reconstruct a 2D/3D single medical image to detect outliers either in the learned feature space or from high reconstr...

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Detalles Bibliográficos
Autores principales: Han, Changhee, Rundo, Leonardo, Murao, Kohei, Noguchi, Tomoyuki, Shimahara, Yuki, Milacski, Zoltán Ádám, Koshino, Saori, Sala, Evis, Nakayama, Hideki, Satoh, Shin’ichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8073969/
https://www.ncbi.nlm.nih.gov/pubmed/33902457
http://dx.doi.org/10.1186/s12859-020-03936-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8073969/
https://www.ncbi.nlm.nih.gov/pubmed/33902457
http://dx.doi.org/10.1186/s12859-020-03936-1

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