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An industry perspective: An update on the adoption of whole slide imaging.
J Pathol Inform. 2016 Apr 11;7:18. doi: 10.4103/2153-3539.180014. eCollection 2016.
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Digital pathology: Review of current opportunities and challenges for oral pathologists.
J Oral Pathol Med. 2019 Apr;48(4):263-269. doi: 10.1111/jop.12825. Epub 2019 Feb 8.
3
A Practical Guide to Whole Slide Imaging: A White Paper From the Digital Pathology Association.
Arch Pathol Lab Med. 2019 Feb;143(2):222-234. doi: 10.5858/arpa.2018-0343-RA. Epub 2018 Oct 11.
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Reimagining the microscope in the 21(st) century using the scalable adaptive graphics environment.
J Pathol Inform. 2015 Jun 3;6:25. doi: 10.4103/2153-3539.158042. eCollection 2015.
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Review of the current state of whole slide imaging in pathology.
J Pathol Inform. 2011;2:36. doi: 10.4103/2153-3539.83746. Epub 2011 Aug 13.
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Validation of a whole slide imaging system for primary diagnosis in surgical pathology: A community hospital experience.
J Pathol Inform. 2014 Nov 28;5(1):43. doi: 10.4103/2153-3539.145731. eCollection 2014.
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Implementation of whole slide imaging in surgical pathology: A value added approach.
J Pathol Inform. 2011;2:39. doi: 10.4103/2153-3539.84232. Epub 2011 Aug 24.
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Digital Whole Slide Imaging Compared With Light Microscopy for Primary Diagnosis in Surgical Pathology.
Arch Pathol Lab Med. 2020 Oct 1;144(10):1245-1253. doi: 10.5858/arpa.2019-0569-OA.

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Types and frequency of whole slide imaging scan failures in a clinical high throughput digital pathology scanning laboratory.
J Pathol Inform. 2022 Jun 29;13:100112. doi: 10.1016/j.jpi.2022.100112. eCollection 2022.
2
Deep Learning-Enabled Technologies for Bioimage Analysis.
Micromachines (Basel). 2022 Feb 6;13(2):260. doi: 10.3390/mi13020260.
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Harnessing non-destructive 3D pathology.
Nat Biomed Eng. 2021 Mar;5(3):203-218. doi: 10.1038/s41551-020-00681-x. Epub 2021 Feb 15.
5
Emerging role of deep learning-based artificial intelligence in tumor pathology.
Cancer Commun (Lond). 2020 Apr;40(4):154-166. doi: 10.1002/cac2.12012. Epub 2020 Apr 11.
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Artificial intelligence in digital pathology - new tools for diagnosis and precision oncology.
Nat Rev Clin Oncol. 2019 Nov;16(11):703-715. doi: 10.1038/s41571-019-0252-y. Epub 2019 Aug 9.
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The Empirical Foundations of Telepathology: Evidence of Feasibility and Intermediate Effects.
Telemed J E Health. 2017 Mar;23(3):155-191. doi: 10.1089/tmj.2016.0278. Epub 2017 Feb 7.
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Enterprise Implementation of Digital Pathology: Feasibility, Challenges, and Opportunities.
J Digit Imaging. 2017 Oct;30(5):555-560. doi: 10.1007/s10278-017-9946-9.

本文引用的文献

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Diagnostic time in digital pathology: A comparative study on 400 cases.
J Pathol Inform. 2016 Jan 29;7:4. doi: 10.4103/2153-3539.175377. eCollection 2016.
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Discordant Interpretations of Breast Biopsy Specimens by Pathologists--Reply.
JAMA. 2015 Jul 7;314(1):83-4. doi: 10.1001/jama.2015.6239.
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Optimizing HER2 assessment in breast cancer: application of automated image analysis.
Breast Cancer Res Treat. 2015 Jul;152(2):367-75. doi: 10.1007/s10549-015-3475-3. Epub 2015 Jun 25.
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Cost-effectiveness of CT screening in the National Lung Screening Trial.
N Engl J Med. 2015 Jan 22;372(4):388. doi: 10.1056/NEJMc1414726.
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Regulatory barriers surrounding the use of whole slide imaging in the United States of America.
J Pathol Inform. 2014 Oct 21;5(1):38. doi: 10.4103/2153-3539.143325. eCollection 2014.
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Digitized whole slides for breast pathology interpretation: current practices and perceptions.
J Digit Imaging. 2014 Oct;27(5):642-8. doi: 10.1007/s10278-014-9683-2.
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Digital imaging in pathology.
Clin Lab Med. 2012 Dec;32(4):557-84. doi: 10.1016/j.cll.2012.07.006.
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Global cancer transitions according to the Human Development Index (2008-2030): a population-based study.
Lancet Oncol. 2012 Aug;13(8):790-801. doi: 10.1016/S1470-2045(12)70211-5. Epub 2012 Jun 1.

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