Digital pathology and artificial intelligence.
Digital pathology and artificial intelligence.
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DOI：
10.1016/s1470-2045(19)30154-8
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发表时间：
2019-05
期刊：
影响因子：
--
通讯作者：
Gurcan MN
中科院分区：
文献类型：
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作者：
Niazi MKK;Parwani AV;Gurcan MN
在现代临床实践中，数字病理学起着至关重要的作用，并且越来越成为实验室环境中的技术要求。全载玻片成像的出现、更快的网络的可用性和更便宜的存储解决方案使病理学家更容易管理数字载玻片图像并将其共享用于临床。与此同时，机器学习领域前所未有的进步使人工智能和数字病理学实现了协同作用，从而提供了基于图像的诊断可能性，而这些可能性在过去仅限于放射学和心脏病学。通过将数字幻灯片集成到病理学工作流程中，先进的算法和计算机辅助诊断技术将病理学家的视野扩展到显微镜幻灯片之外，并实现超越人类限制和边界的知识的真正利用和整合。人工智能在数字病理学方面有明显的突破潜力。在这篇综述文章中，我们讨论了基于数字切片的图像诊断的最新进展，沿着，以及人工智能在数字病理学中的一些挑战和机遇。
In modern clinical practice, digital pathology plays a crucial role and is increasingly a technological requirement in the laboratory environment. The advent of whole slide imaging, the availability of faster networks, and cheaper storage solutions make it easier for pathologists to manage digital slide images and share them for clinical use. In parallel, unprecedented advances in machine learning have enabled synergy of artificial intelligence and digital pathology, which offers image-based diagnosis possibilities that were only limited to radiology and cardiology in the past. With integration of digital slides into the pathology workflow, advanced algorithms and computer-aided diagnostic techniques extend the frontiers of the pathologist’s view beyond a microscopic slide and enable true utilization and integration of knowledge beyond human limits and boundaries. There is clear potential for artificial intelligence breakthroughs in digital pathology. In this review article, we discuss recent advancements in digital slide based image diagnosis along with some challenges and opportunities for artificial intelligence in digital pathology.
DOI：
10.1177/1093526617698603
发表时间：
2017-09
期刊：
Pediatric and developmental pathology : the official journal of the Society for Pediatric Pathology and the Paediatric Pathology Society
影响因子：
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作者：
Niazi MKK;Chung JH;Heaton-Johnson KJ;Martinez D;Castellanos R;Irwin MS;Master SR;Pawel BR;Gurcan MN;Weiser DA
通讯作者：
Weiser DA