Preoperatively Predicting Ki67 Expression in Pituitary Adenomas Using Deep Segmentation Network and Radiomics Analysis Based on Multiparameter MRI
Author:
Publisher
Elsevier BV
Subject
Radiology, Nuclear Medicine and imaging
Reference36 articles.
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1. Machine-Learning and Radiomics-Based Preoperative Prediction of Ki-67 Expression in Glioma Using MRI Data;Academic Radiology;2024-08
2. Radiomics of pituitary adenoma using computer vision: a review;Medical & Biological Engineering & Computing;2024-07-16
3. MRI radiomics-based interpretable model and nomogram for preoperative prediction of Ki-67 expression status in primary central nervous system lymphoma;Frontiers in Medicine;2024-06-27
4. Identification of Prolactinoma in Pituitary Neuroendocrine Tumors Using Radiomics Analysis Based on Multiparameter MRI;Journal of Imaging Informatics in Medicine;2024-06-06
5. Concomitant Prediction of the Ki67 and PIT-1 Expression in Pituitary Adenoma Using Different Radiomics Models;Journal of Imaging Informatics in Medicine;2024-05-15
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