Development and Evaluation of Deep Learning-based Automated Segmentation of Pituitary Adenoma in Clinical Task.

The proposed methods could automatically segment the sellar region and extract features with high accuracy. The outstanding performance of the prediction of the tumor consistency indicates the methods' clinical usefulness for supporting neurosurgeons in judging patients' conditions, predicting prognosis, and other downstream tasks during the preoperative period.