Back Cover: AI‐BRAFV600E: A Deep Convolutional Neural Network for BRAFV600E Mutation Status Prediction of Thyroid Nodules Using Ultrasound Images (view 2/2023)
View(2023)
摘要
The back cover image describes a DCNN model based on ultrasound images to predict the BRAFV600E mutation in thyroid nodules which achieved encouraging predictive performance in the test sets from four hospitals (AUC 0.84–0.93). This model might provide a non-invasive and convenient method for predicting the BRAFV600E mutation to assist clinicians to select more appropriate management for patients with thyroid nodules or thyroid cancer.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要