Next-generation lung cancer pathology: Development and validation of diagnostic and prognostic algorithms-Reference-Cited by-同舟云学术

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Next-generation lung cancer pathology: Development and validation of diagnostic and prognostic algorithms

Published:2024-08 Issue: Volume: Page:101697
ISSN:2666-3791
Container-title:Cell Reports Medicine
language:en
Short-container-title:Cell Reports Medicine

Author:

Kludt Carina,Wang Yuan,Ahmad Waleed,Bychkov Andrey,Fukuoka Junya,Gaisa Nadine,Kühnel Mark,Jonigk Danny,Pryalukhin Alexey,Mairinger Fabian,Klein Franziska,Schultheis Anne Maria,Seper Alexander,Hulla Wolfgang,Brägelmann Johannes,Michels Sebastian,Klein Sebastian,Quaas Alexander,Büttner Reinhard,Tolkach Yuri

Publisher

Elsevier BV

Reference45 articles.

1. Cancer statistics, 2023;Siegel;CA. Cancer J. Clin.,2023

2. Global variations in lung cancer incidence by histological subtype in 2020: a population-based study;Zhang;Lancet Oncol.,2023

3. Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology;Bera;Nat. Rev. Clin. Oncol.,2019

4. Deep learning in cancer pathology: a new generation of clinical biomarkers;Echle;Br. J. Cancer,2021

5. Regression-based Deep-Learning predicts molecular biomarkers from pathology slides;El Nahhas;Nat. Commun.,2024

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