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Digital pathology and artificial intelligence

Published:2019-05 Issue:5 Volume:20 Page:e253-e261
ISSN:1470-2045
Container-title:The Lancet Oncology
language:en
Short-container-title:The Lancet Oncology

Author:

Niazi Muhammad Khalid Khan,Parwani Anil V,Gurcan Metin N

Funder

National Cancer Institute and The Ohio State University Comprehensive Cancer Center Intramural Research

Metin N Gurcan (co-principal investigator) and Gerard Lozanski

Publisher

Elsevier BV

Subject

Oncology

Reference63 articles.

1. Artificial intelligence and digital pathology: challenges and opportunities;Tizhoosh;J Pathol Inform,2018

2. Whole slide imaging in pathology: advantages, limitations, and emerging perspectives;Farahani;Pathol Lab Med Int,2015

3. A practical guide to whole slide imaging: a white paper from the digital pathology association;Zarella;Arch Pathol Lab Med,2019

4. Nuclear IHC enumeration: a digital phantom to evaluate the performance of automated algorithms in digital pathology;Niazi;PloS One,2018

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