甲状腺结节超声动态演变数据

甲状腺结节超声动态演变数据是聚焦甲状腺结节形态与功能动态变化的时序影像资源库，涵盖多期次超声影像、血流动力学参数及关联临床信息。本数据集通过追踪结节的弹性成像、血流分级、边缘特征及微钙化等演变轨迹，支持AI模型开发，实现结节恶性风险动态预测、生长趋势智能预警，为甲状腺结节精准诊疗与全程管理提供影像学循证依据。

The Thyroid Nodule Ultrasound Dynamic Evolution Dataset is a temporal imaging repository focusing on the dynamic alterations in the morphology and function of thyroid nodules. It encompasses multi-temporal ultrasound images, hemodynamic parameters and associated clinical information. By tracking the evolutionary trajectories of thyroid nodules including elastography features, blood flow grading, margin characteristics and microcalcifications, this dataset supports the development of AI models to enable dynamic prediction of the malignant risk of these nodules and intelligent early warning of their growth trends, thereby providing imaging-based evidence-based support for the precise diagnosis, treatment and full-course management of thyroid nodules.

搜集汇总

背景与挑战

背景概述

该数据集包含2015-2023年期间1000多例甲状腺结节患者的超声图像和临床数据，具有时间序列动态演变特性，适用于医学影像分析和疾病进展研究。