Artificial intelligence grading of breast cancer: a promising method to refine prognostic classification for management precision-Reference-Cited by-同舟云学术

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Artificial intelligence grading of breast cancer: a promising method to refine prognostic classification for management precision

Published:2021-05-06 Issue:2 Volume:79 Page:187-199
ISSN:0309-0167
Container-title:Histopathology
language:en
Short-container-title:Histopathology

Author:

Elsharawy Khloud A¹²^ORCID,Gerds Thomas A³,Rakha Emad A¹^ORCID,Dalton Leslie W⁴^ORCID

Affiliation:

1. Division of Cancer and Stem Cells School of Medicine University of NottinghamBiodiscovery Institute Nottingham UK

2. Faculty of Science Damietta University Damietta Egypt

3. Department Biostatistics University CopenhagenA Copenhagen Denmark

4. Department of Histopathology South Austin HospitalEmeritus Austin TX USA

Publisher

Wiley

Subject

General Medicine,Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/his.14354

Reference35 articles.

1. Breast cancer histologic grading using digital microscopy: concordance and outcome association

2. Concordance among Gene-Expression–Based Predictors for Breast Cancer

3. Comparing Breast Cancer Multiparameter Tests in the OPTIMA Prelim Trial: No Test Is More Equal Than the Others

4. pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up

5. Breast cancer prognostic classification in the molecular era: the role of histological grade

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