Department of Neurosurgery, NIMHANS, Bengaluru, Karnataka, India.
Indian J Pathol Microbiol. 2022 May;65(Supplement):S226-S229. doi: 10.4103/ijpm.ijpm_115_22.
Machine learning and artificial intelligence (AI) have become a part of our daily routine. There are very few of us who are not influenced by this technology. There are a lot of misconceptions about the scope, utility, and fallacies of AI. Digital neuropathology is an evolving area of research. The importance of digital image processing stems from the rapid gains in computer vision and image processing that have happened in the past decade thanks to advancements in deep learning (DL). The article attempts to present to the audience a simple presentation of the technology and attempts to provide a context-based understanding of the DL process for image processing. Also highlighted are current challenges and the roadblocks in adopting the technology in routine neuropathology.
机器学习和人工智能（AI）已经成为我们日常生活的一部分。我们很少有人不受这项技术的影响。人们对 AI 的范围、实用性和谬论存在很多误解。数字神经病理学是一个不断发展的研究领域。数字图像处理的重要性源于过去十年中计算机视觉和图像处理技术的快速发展，这得益于深度学习（DL）的进步。本文试图向读者展示该技术的简单介绍，并尝试提供基于上下文的 DL 处理图像的过程理解。还强调了当前在常规神经病理学中采用该技术的挑战和障碍。
