Digital Pathology: New Initiative in Pathology-Reference-Cited by-同舟云学术

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Digital Pathology: New Initiative in Pathology

Published:2022-09-17 Issue:9 Volume:12 Page:1314
ISSN:2218-273X
Container-title:Biomolecules
language:en
Short-container-title:Biomolecules

Author:

Cho William C.^ORCID

Abstract

Digital pathology (DP) is an emerging field of pathology that manages information generated from digitized specimen slides [...]

Publisher

MDPI AG

Subject

Molecular Biology,Biochemistry

Link

https://www.mdpi.com/2218-273X/12/9/1314/pdf

Reference14 articles.

1. Comparison of Semi-Quantitative Scoring and Artificial Intelligence Aided Digital Image Analysis of Chromogenic Immunohistochemistry

2. Pembrolizumab in Microsatellite-Instability–High Advanced Colorectal Cancer

3. xDEEP-MSI: Explainable Bias-Rejecting Microsatellite Instability Deep Learning System in Colorectal Cancer

4. Assessment of Ki67 in Breast Cancer: Updated Recommendations From the International Ki67 in Breast Cancer Working Group

5. Independent Clinical Validation of the Automated Ki67 Scoring Guideline from the International Ki67 in Breast Cancer Working Group

Cited by 2 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

1. Digitalisierung der histopathologischen Routinediagnostik;Die Pathologie;2024-01-08

2. Use of a Novel Deep Learning Open-Source Model for Quantification of Ki-67 in Breast Cancer Patients in Pakistan: A Comparative Study between the Manual and Automated Methods;Diagnostics;2023-09-30

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