Hybrid Imaging System Laboratory, School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China;
Hybrid Imaging System Laboratory, School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China;
Hybrid Imaging System Laboratory, School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China,Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China;
Hybrid Imaging System Laboratory, School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China;
Hybrid Imaging System Laboratory, School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China;
photoacoustic imaging; deep learning; breast cancer diagnosis; transfer learning;
机译:医学成像技术采用曲线变换和机器学习,用于热图像自动诊断乳腺癌
机译:使用不同图像方式的乳腺癌计算机辅助诊断机器学习技术:系统评价
机译:最小二乘支持向量机和最小冗余最大相关性从乳腺癌显微图像诊断乳腺癌
机译:具有机器学习的光声乳腺癌图像的诊断
机译:用于乳腺癌的计算机辅助诊断的模块化机器学习方法。
机译:母癌组织病理学模型多分类的传统机器学习与深层学习方法 - 一种比较洞察
机译:最小二乘支持向量机和最小冗余最大相关性从乳腺癌显微图像诊断乳腺癌
机译:用于计算机辅助诊断乳腺癌的模块化机器学习方法