five

CT radiomic features for canine primary lung tumors

收藏
DataCite Commons2022-03-09 更新2025-04-09 收录
下载链接:
https://hdl.handle.net/11299/221999
下载链接
链接失效反馈
官方服务:
资源简介:
Quantitative analysis of computed tomography (CT) radiomic features is an indirect measure of tumor heterogeneity, which has been associated with prognosis in human lung carcinoma. Canine lung tumors share similar features to human lung tumors and may serve as a model in which to investigate the utility of radiomic features in differentiating tumor type and prognostication. The purpose of this study was to correlate first-order radiomic features from canine primary lung tumors to histopathologic characteristics and outcome. Sixty-seven tumors from 65 dogs were evaluated in this study.
提供机构:
Data Repository for the University of Minnesota (DRUM)
创建时间:
2021-07-30
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作