3-Dimensional Reconstruction From Histopathological Sections: A Systematic Review-Reference-Cited by-同舟云学术

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3-Dimensional Reconstruction From Histopathological Sections: A Systematic Review

Published:2024-06 Issue:6 Volume:104 Page:102049
ISSN:0023-6837
Container-title:Laboratory Investigation
language:en
Short-container-title:Laboratory Investigation

Author:

Kurz Alexander,Müller Heimo,Kather Jakob N.,Schneider Lucas,Bucher Tabea C.,Brinker Titus J.^ORCID

Publisher

Elsevier BV

Reference45 articles.

1. Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis;Litjens;Sci Rep,2016

2. Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer;Kather;Nat Med,2019

3. Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours;Brinker;Eur J Cancer,2021

4. Deep learning can predict lymph node status directly from histology in colorectal cancer;Kiehl;Eur J Cancer,2021

5. Three-dimensional imaging and quantitative analysis in CLARITY processed breast cancer tissues;Chen;Sci Rep,2019

Cited by 1 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. Serial section histopathology image dataset of colon and pancreas tissue captured through light microscope;Data in Brief;2024-06

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