基于CT影像的深度学习模型用于区分甲状腺眼病和眼眶肌炎

资源简介

基于CT影像的深度学习模型用于区分甲状腺眼病和眼眶肌炎

【数据集背景】

本数据集源站标题为《Deep learning model for differentiating thyroid eye disease and orbital myositis on computed tomography (CT) imaging》。配套论文《Deep learning model for differentiating thyroid eye disease and orbital myositis on computed tomography (CT) imaging》发表于 Orbit（2025），DOI：10.1080/01676830.2025.2510587。项目资助方：This work was partially supported by [NIH R21 EY035298].。源站首次发布：2025-06-03。

【数据内容】

源站原始描述：To develop a deep learning model using orbital computed tomography (CT) imaging to accurately distinguish thyroid eye disease (TED) and orbital myositis, two conditions with overlapping clinical presentations Retrospective, single-center cohort study spanning 12 years including normal controls, TED, and orbital myositis patients with orbital imaging and examination by an oculoplastic surgeon. A deep learning model employing a Visual Geometry Group-16 network was trained on various binary combina…

【数据结构与技术规格】

文件数 2 个，合计 1.76 MB。iorb_a_2510587_sm5593.jpg：image/jpeg，1.27 MB。iorb_a_2510587_sm5587.jpg：image/jpeg，490.87 KB。数据集 DOI：10.6084/m9.figshare.29225734.v1。

【主题与分类】

源站学科分类：Space Science、Medicine、Cell Biology、Physiology、Biotechnology、Chemical Sciences not elsewhere classified。主题标签：Artificial intelligence、deep learning、thyroid eye disease、orbital myositis、computed tomography。

【适用方向】

源站学科分类标注为 Space Science、Medicine、Cell Biology、Physiology、Biotechnology、Chemical Sciences not elsewhere classified。

【获取与许可】

源站页面：https://tandf.figshare.com/articles/dataset/Deep_learning_model_for_differentiating_thyroid_eye_disease_and_orbital_myositis_on_computed_tomography_CT_imaging/29225734

使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。

规范引用：Deep learning model for differentiating thyroid eye disease and orbital myositis on computed tomography (CT) imaging. Taylor & Francis. Ha, Sierra K.; Lin, Lisa Y.; Shi, Min; Wang, Mengyu; Han, Ji Yun; Lee, Nahyoung Grace

【使用注意】

· 源站最后修改于 2025-11-29，引用时请注意版本时效。