Three-Dimensional Semantic Segmentation of Pituitary Adenomas Based on the Deep Learning Framework-nnU-Net: A Clinical Perspective

This study developed and evaluated nnU-Net models for three-dimensional semantic segmentation of pituitary adenomas (PAs) from contrast-enhanced T1 (T1ce) images, with aims to train a deep learning-based model cost-effectively and apply it to clinical practice. Methods: This study was conducted in t...

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Detalles Bibliográficos
Autores principales: Shu, Xujun, Zhou, Yijie, Li, Fangye, Zhou, Tao, Meng, Xianghui, Wang, Fuyu, Zhang, Zhizhong, Pu, Jian, Xu, Bainan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8703586/
https://www.ncbi.nlm.nih.gov/pubmed/34945322
http://dx.doi.org/10.3390/mi12121473

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8703586/
https://www.ncbi.nlm.nih.gov/pubmed/34945322
http://dx.doi.org/10.3390/mi12121473

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