Dey Pranab, Bansal Baneet, Saini Tarunpreet
Department of Cytology and Gynecological Pathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Department of Pathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Diagn Cytopathol. 2023 Apr;51(4):270-275. doi: 10.1002/dc.25101. Epub 2023 Jan 12.
The significant advancement in digital imaging, data management, advanced computational power, and artificial neural network have an immense impact on the field of cytology. The amalgamation of these areas has generated a newer discipline known as computational cytology.
In To discuss the various important aspects of computational cytology.
We reviewed the different studies published in English during the last few years on computational cytology.
Computational cytology is a newer and emerging discipline in pathology that deals with the patient's meta-data and digital image data to make a mathematical model to produce diagnostic interpretations and predictions. The role of the cytologist is now changing from a simple observational scientist and slide interpreter to a dynamic and integrated multi-parametric prediction-based scientist.
In the current stage, the cytologist must understand the situation and should have a vision of the complete scenario on computational cytology.
数字成像、数据管理、先进计算能力和人工神经网络的重大进展对细胞学领域产生了巨大影响。这些领域的融合产生了一个新的学科，称为计算细胞学。
探讨计算细胞学的各个重要方面。
我们回顾了过去几年以英文发表的关于计算细胞学的不同研究。
计算细胞学是病理学中一个新兴的学科，它处理患者的元数据和数字图像数据，以建立一个数学模型来进行诊断解释和预测。细胞学家的角色现在正从一个简单的观察科学家和玻片解读员转变为一个基于动态和综合多参数预测的科学家。
在当前阶段，细胞学家必须了解情况，并应对计算细胞学的全貌有一个愿景。
