Effectiveness of color correction on the quantitative analysis of histopathological images acquired by different whole-slide scanners-Reference-Cited by-同舟云学术

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Effectiveness of color correction on the quantitative analysis of histopathological images acquired by different whole-slide scanners

Published:2018-07-19 Issue:1 Volume:24 Page:28-37
ISSN:1433-5298
Container-title:Artificial Life and Robotics
language:en
Short-container-title:Artif Life Robotics

Author:

Aziz Maulana Abdul,Nakamura Tomoya,Yamaguchi Masahiro,Kiyuna Tomoharu,Yamashita Yoshiko,Abe Tokiya,Hashiguchi Akinori,Sakamoto Michiie

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,General Biochemistry, Genetics and Molecular Biology

Link

http://link.springer.com/content/pdf/10.1007/s10015-018-0451-0.pdf

Reference13 articles.

1. Randell R, Ambepitiya T, Mello-Thoms C et al (2015) Effect of display resolution on time to diagnosis with virtual pathology slides in a systematic search task. J Digit Imaging 28(1):68–76. https://doi.org/10.1007/s10278-014-9726-8

2. Kiyuna T, Saito A, Marugame A et al (2013) Automatic classification of hepatocellular carcinoma images based on nuclear and structural features. Proc SPIE 8676 Med Imaging 2013 Digital Pathol 8676:86760Y. https://doi.org/10.1117/12.2006667 (29 March 2013)

3. Romo-Bucheli D, Janowczyk A, Romero E et al (2016) Automated tubule nuclei quantification and correlation with oncotype DX risk categories in ER+ breast cancer whole slide images. Sci Rep 6:32706. https://doi.org/10.1038/srep32706

4. Jørgensen AS, Rasmussen AM, Andersen NKM et al (2017) Using cell nuclei features to detect colon cancer tissue in hematoxylin and eosin stained slides. Cytometry 91:785–793. https://doi.org/10.1002/cyto.a.23175

5. Cosatto E, Laquerre PF, Malon C et al (2013) Automated gastric cancer diagnosis on H&E-stained sections; training a classifier on a large scale with multiple instance machine learning. Proc SPIE 8676 Med Imaging 2013 Digital Pathol 8676:867605. https://doi.org/10.1117/12.2007047 (29 March 2013)

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1. Assessment of Color Reproducibility and Mitigation of Color Variation in Whole Slide Image Scanners for Toxicologic Pathology;Toxicologic Pathology;2023-08

2. Applications of discriminative and deep learning feature extraction methods for whole slide image analysis: A survey;Journal of Pathology Informatics;2023

3. Recent technical advances in whole slide imaging instrumentation;Journal of Microscopy;2021-08-11

4. Impact of blurs on machine-learning aided digital pathology image analysis;WArtificial Intelligence in Cancer;2020-06-28

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