学术成果

影像组学研究成果在《Frontiers in Oncology》上发表

Automated Classification of Papillary Renal Cell Carcinoma and Chromophobe Renal Cell Carcinoma Based on a Small Computed Tomography Imaging Dataset Using Deep Learning
This study was conducted in order to design and develop a framework utilizing deep learning (DL) to differentiate papillary renal cell carcinoma (PRCC) from chromophobe renal cell carcinoma (ChRCC) using convolutional neural networks (CNNs) on a small set of computed tomography (CT) images and provide a feasible method that can be applied to light devices.

技术文章

ArcGIS 2021 暑期课程资料

本文档为贺力老师主讲《社会科学研究中的GIS空间计量方法——软件操作与论文解析》(2021年8月,学术志平台)课程的补充资料。主要内容为使用ArcGIS和GeoDa进行简单的矢量数据分析、制作地图和拟合空间回归模型。