wwww6662003/wwww6662003.github.io: 个人主页 https://github.com/wwww6662003/wwww6662003.github.io 王维 · My New Hugo Site https://wwww6662003.github.io/ D:\Scoop\apps\Hugo\0.101.0\Sites\blog\public 王教授推荐三篇文章学习： 初步订在6月29号上午，每个人准备一下，咱们进行学习交流，大家看看如何？ WIREs CMS | 基于深度学习的药物重定位：方法、数据库和应用 https://mp.weixin.qq.com/s/nounUr5T5xjKmobPTOT5Wg 深度学习从入门到精通 - 知乎 https://www.zhihu.com/column/c_1375953490200608768 Nat. Mach. Intel. | 用机器学习发现肉眼不可见的新冠肺部长期病变 https://mp.weixin.qq.com/s/YXwM_UN1R3X952DuAmJx7A BIB | 预测基于相似性的药物-靶点相互作用的异构网络嵌入框架 https://mp.weixin.qq.com/s/XsSf_78GqYPNwvyDbnLTzQ 一、（文章源码）Nat. Mach. Intel. | 用机器学习发现肉眼不可见的新冠肺部长期病变 https://mp.weixin.qq.com/s/YXwM_UN1R3X952DuAmJx7A An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors https://www.nature.com/articles/s42256-022-00483-7.pdf DLPE-method/colab.ipynb at master · LongxiZhou/DLPE-method https://github.com/LongxiZhou/DLPE-method/blob/master/colab.ipynb 1.文章名字：An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors 2.