奥纳、宋和李：现代医学未来数字病理学领域的研究人员。
Oner, Sung, and Lee: Researchers in digital pathology for the future of modern medicine.
作者信息
Oner Mustafa Umit, Sung Wing-Kin, Lee Hwee Kuan
机构信息
Bioinformatics Institute, Agency for Science, Technology and Research (A∗STAR), Singapore 138671, Singapore.
School of Computing, National University of Singapore, Singapore 117417, Singapore.
出版信息
Patterns (N Y). 2022 Feb 11;3(2):100447. doi: 10.1016/j.patter.2022.100447.
Oner, an early-career researcher, and Lee and Sung, group leaders, have developed a deep learning model for accurate prediction of the proportion of cancer cells within tumor tissue. This is a necessary step for precision oncology and target therapy in cancer. They talk about their view of data science and the evolution of pathology in the coming years.
早期职业研究员奥纳以及团队负责人李和宋开发了一种深度学习模型，用于准确预测肿瘤组织内癌细胞的比例。这是癌症精准肿瘤学和靶向治疗的必要步骤。他们谈到了自己对数据科学的看法以及未来几年病理学的发展。
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