Whole-slide image focus quality: Automatic assessment and impact on ai cancer detection-Reference-Cited by-同舟云学术

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Whole-slide image focus quality: Automatic assessment and impact on ai cancer detection

Published:2019 Issue:1 Volume:10 Page:39
ISSN:2153-3539
Container-title:Journal of Pathology Informatics
language:en
Short-container-title:J Pathol Inform

Author:

Kohlberger Timo,Liu Yun,Moran Melissa,Chen Po-HsuanCameron,Brown Trissia,Hipp JasonD,Mermel CraigH,Stumpe MartinC

Publisher

Medknow

Subject

Computer Science Applications,Health Informatics,Pathology and Forensic Medicine

Cited by 57 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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3. Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs;2024-03-13

4. Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images;Computerized Medical Imaging and Graphics;2024-03

5. An automated slide scanning system for membrane filter imaging in diagnosis of urogenital schistosomiasis;Journal of Microscopy;2024-01-30

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