Hart Steven N
Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
J Pathol Inform. 2018 Jul 19;9:27. doi: 10.4103/jpi.jpi_25_18. eCollection 2018.
Digital pathology is the science of performing traditional pathological assessment in a digital environment. A digital transition is long overdue since histochemical analysis such as hematoxylin and eosin staining has remained unchanged in over 100 years. Importantly, the digitization of whole slide images further lends itself to advances in computational pathology and artificial intelligence to transform qualitative assessment into quantitative assessment. The impact of this transition from a computational infrastructure perspective is reminiscent of a similar transition in the field of genomics. In this article, I describe some of the similarities between genomics and digital pathology as well as highlight some key lessons learned to prevent the same mistakes and delays that slowed the genomics revolution.
数字病理学是在数字环境中进行传统病理评估的科学。数字化转型早就该进行了，因为诸如苏木精和伊红染色等组织化学分析在100多年来一直没有改变。重要的是，全玻片图像的数字化进一步推动了计算病理学和人工智能的发展，从而将定性评估转变为定量评估。从计算基础设施的角度来看，这种转变的影响让人想起基因组学领域的类似转变。在本文中，我描述了基因组学和数字病理学之间的一些相似之处，并强调了一些吸取的关键教训，以避免重蹈那些减缓基因组学革命的错误和延误。
