Semi-supervised method for image texture classification of pituitary tumors via CycleGAN and optimized feature extraction

BACKGROUND: Accurately determining the softness level of pituitary tumors preoperatively by using their image textures can provide a basis for surgical options and prognosis. Existing methods for this problem require manual intervention, which could hinder the efficiency and accuracy considerably. M...

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Detalles Bibliográficos
Autores principales: Zhu, Hong, Fang, Qianhao, Huang, Yihe, Xu, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7488038/
https://www.ncbi.nlm.nih.gov/pubmed/32907561
http://dx.doi.org/10.1186/s12911-020-01230-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7488038/
https://www.ncbi.nlm.nih.gov/pubmed/32907561
http://dx.doi.org/10.1186/s12911-020-01230-x

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