Developing image analysis methods for digital pathology.
Developing image analysis methods for digital pathology.
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开发数字病理学的图像分析方法。
DOI：
10.1002/path.5921
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发表时间：
2022-07
期刊：
影响因子：
--
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中科院分区：
文献类型：
--
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使用定量图像分析和人工智能的潜力是数字病理学背后的驱动力之一。然而，尽管在许多出版物中描述了用于病理学的新型图像分析方法，但很少被广泛采用，并且许多方法仅在一项研究中应用。解释通常很简单：实现该方法的软件根本不可用，或者太复杂，不完整或依赖于其他数据集而无法使用。其结果是在基于文献的数字病理学中似乎已经可能的东西与希望使用当前可用软件应用它的任何人实际上可能的东西之间的脱节。本文首先介绍了分析病理图像的主要方法和技术。然后，我从用户和开发人员的角度研究了超越概念验证的算法所固有的实际挑战。我描述了需要一个协作和多学科的方法来开发和验证有意义的新算法，并认为开放性，实施和可用性值得更多的数字病理学研究人员的关注。该综述最后讨论了数字病理学如何从与更广泛的生物图像分析社区的互动和学习中受益，特别是在共享数据，软件和想法方面。© 2022作者病理学杂志由John Wiley & Sons Ltd代表大不列颠和爱尔兰病理学会出版。
The potential to use quantitative image analysis and artificial intelligence is one of the driving forces behind digital pathology. However, despite novel image analysis methods for pathology being described across many publications, few become widely adopted and many are not applied in more than a single study. The explanation is often straightforward: software implementing the method is simply not available, or is too complex, incomplete, or dataset‐dependent for others to use. The result is a disconnect between what seems already possible in digital pathology based upon the literature, and what actually is possible for anyone wishing to apply it using currently available software. This review begins by introducing the main approaches and techniques involved in analysing pathology images. I then examine the practical challenges inherent in taking algorithms beyond proof‐of‐concept, from both a user and developer perspective. I describe the need for a collaborative and multidisciplinary approach to developing and validating meaningful new algorithms, and argue that openness, implementation, and usability deserve more attention among digital pathology researchers. The review ends with a discussion about how digital pathology could benefit from interacting with and learning from the wider bioimage analysis community, particularly with regard to sharing data, software, and ideas. © 2022 The Author. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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