Gandomkar Ziba, Brennan Patrick C, Mello-Thoms Claudia
Image Optimisation and Perception, Discipline of Medical Radiation Sciences, University of Sydney, Australia.
Image Optimisation and Perception, Discipline of Medical Radiation Sciences, University of Sydney, Australia; Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
J Pathol Inform. 2016 Oct 21;7:43. doi: 10.4103/2153-3539.192814. eCollection 2016.
Whole slide imaging (WSI) has the potential to be utilized in telepathology, teleconsultation, quality assurance, clinical education, and digital image analysis to aid pathologists. In this paper, the potential added benefits of computer-assisted image analysis in breast pathology are reviewed and discussed. One of the major advantages of WSI systems is the possibility of doing computer-based image analysis on the digital slides. The purpose of computer-assisted analysis of breast virtual slides can be (i) segmentation of desired regions or objects such as diagnostically relevant areas, epithelial nuclei, lymphocyte cells, tubules, and mitotic figures, (ii) classification of breast slides based on breast cancer (BCa) grades, the invasive potential of tumors, or cancer subtypes, (iii) prognosis of BCa, or (iv) immunohistochemical quantification. While encouraging results have been achieved in this area, further progress is still required to make computer-based image analysis of breast virtual slides acceptable for clinical practice.
全玻片成像（WSI）有潜力应用于远程病理学、远程会诊、质量保证、临床教育以及数字图像分析，以辅助病理学家。本文回顾并讨论了计算机辅助图像分析在乳腺病理学中的潜在附加益处。WSI系统的主要优势之一是能够对数字玻片进行基于计算机的图像分析。乳腺虚拟玻片计算机辅助分析的目的可以是：（i）分割所需区域或对象，如诊断相关区域、上皮细胞核、淋巴细胞、小管和有丝分裂图像；（ii）根据乳腺癌（BCa）分级、肿瘤侵袭潜力或癌症亚型对乳腺玻片进行分类；（iii）预测BCa；或（iv）免疫组织化学定量分析。尽管该领域已取得令人鼓舞的成果，但仍需进一步进展，以使乳腺虚拟玻片的基于计算机的图像分析在临床实践中被接受。
