Artur Jurgas1,2, Marek Wodzinski3,4, Marina D'Amato5

  • 1AGH University of Krakow, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, 30059, Krakow, Poland. arjurgas@agh.edu.pl.

Scientific reports
|August 1, 2024
PubMed
概括

这项研究为整个幻灯片图像引入了一个文物增强工具,提高了文物分类准确度. 这个自由发布的框架支持数字病理学的开放科学.