Review of the current state of digital image analysis in breast pathology

The Breast JournalVolume 26, Issue 6 p. 1208-1212 ORIGINAL ARTICLE Review of the current state of digital image analysis in breast pathology Martin C. Chang MD, PhD, Corresponding Author Martin C. Chang MD, PhD Martin.Chang@uvmhealth.org orcid.org/0000-0003-0184-1314 University of Vermont Cancer Center, Burlington, VT, USA Department of Pathology and Laboratory Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT, USA Correspondence Martin C. Chang, Department of Pathology and Laboratory Medicine, University of Vermont Medical Center, 111 Colchester Avenue, Burlington, VT 05401. Email: Martin.Chang@uvmhealth.orgSearch for more papers by this authorMiralem Mrkonjic MD, PhD, Miralem Mrkonjic MD, PhD Sinai Health System, Toronto, ON, Canada Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, CanadaSearch for more papers by this author Martin C. Chang MD, PhD, Corresponding Author Martin C. Chang MD, PhD Martin.Chang@uvmhealth.org orcid.org/0000-0003-0184-1314 University of Vermont Cancer Center, Burlington, VT, USA Department of Pathology and Laboratory Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT, USA Correspondence Martin C. Chang, Department of Pathology and Laboratory Medicine, University of Vermont Medical Center, 111 Colchester Avenue, Burlington, VT 05401. Email: Martin.Chang@uvmhealth.orgSearch for more papers by this authorMiralem Mrkonjic MD, PhD, Miralem Mrkonjic MD, PhD Sinai Health System, Toronto, ON, Canada Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, CanadaSearch for more papers by this author First published: 27 April 2020 https://doi.org/10.1111/tbj.13858Citations: 3Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Abstract Advances in digital image analysis have the potential to transform the practice of breast pathology. In the near future, a move to a digital workflow offers improvements in efficiency. Coupled with artificial intelligence (AI), digital pathology can assist pathologist interpretation, automate time-consuming tasks, and discover novel morphologic patterns. Opportunities for digital enhancements abound in breast pathology, from increasing reproducibility in grading and biomarker interpretation, to discovering features that correlate with patient outcome and treatment. Our objective is to review the most recent developments in digital pathology with clear impact to breast pathology practice. Although breast pathologists currently undertake limited adoption of digital methods, the field is rapidly evolving. Care is needed to validate emerging technologies for effective patient care. Citing Literature Volume26, Issue6Special Issue in Breast PathologyJune 2020Pages 1208-1212 RelatedInformation