Low‐rank fusion convolutional neural network for prediction of remission after stereotactic radiosurgery in patients with acromegaly: a proof‐of‐concept study

Artificial intelligence approaches to analyze pathological images (pathomic) for outcome prediction have not been sufficiently considered in the field of pituitary research. A total of 5,504 hematoxylin & eosin‐stained pathology image tiles from 58 acromegalic patients with a good or poor outcom...

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Veröffentlicht in:	The Journal of pathology 2022-09, Vol.258 (1), p.49-57
Hauptverfasser:	Qiao, Nidan, Yu, Damin, Wu, Guoqing, Zhang, Qilin, Yao, Boyuan, He, Min, Ye, Hongying, Zhang, Zhaoyun, Wang, Yongfei, Wu, Hanfeng, Zhao, Yao, Yu, Jinhua
Format:	Artikel
Sprache:	eng
Schlagworte:	Acromegaly Artificial intelligence Decision making Gamma knife growth hormone multicenter neural network Neural networks pathomic Patients Pituitary pituitary adenoma Radiosurgery Remission Sensitivity analysis
Online-Zugang:	Volltext
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