Whole Slide Preview Image Segmentation and Setup for Digital Pathology Scanners
Whole Slide Preview Image Segmentation and Setup for Digital Pathology Scanners
Abstract The problem of tissue finding is of special interest in automating WSI scanners where it decomposes the preview image of tissue glass slides into a simplified and abstract level of localization and identification to setup WSI scanner for high-resolution scan. Prior to such scanning, a preview image is captured to calibrate the scanner’s parameters. Scan parameters such as focus depth and scan region are determined using a tissue finding software package. This paper introduces a series of pipelines (e.g. binary mask segmentation, tissue/artifact classification, region-of-interest allocation) to automate tissue preview segmentation in both brightfield and darkfield microscopy.
Gershanik Daniel、Lee Dohyoung、Hosseini Mahdi S.、Damaskinos Savvas、Lee Dongwoon、Plataniotis Konstantinos N.
The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of TorontoThe Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of TorontoThe Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto||Huron Digital Pathology IncHuron Digital Pathology IncHuron Digital Pathology IncThe Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto
医学研究方法自动化技术、自动化技术设备计算技术、计算机技术
Gershanik Daniel,Lee Dohyoung,Hosseini Mahdi S.,Damaskinos Savvas,Lee Dongwoon,Plataniotis Konstantinos N..Whole Slide Preview Image Segmentation and Setup for Digital Pathology Scanners[EB/OL].(2025-03-28)[2025-05-13].https://www.biorxiv.org/content/10.1101/2020.02.24.963645.点此复制
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