Development and validation of a supervised deep learning algorithm for automated whole‐slide programmed death‐ligand 1 tumour proportion score assessment in non‐small cell lung cancer-Reference-Cited by-同舟云学术

Development and validation of a supervised deep learning algorithm for automated whole‐slide programmed death‐ligand 1 tumour proportion score assessment in non‐small cell lung cancer

Published:2021-11-16 Issue: Volume: Page:
ISSN:0309-0167
Container-title:Histopathology
language:en
Short-container-title:Histopathology

Author:

Hondelink Liesbeth M¹^ORCID,Hüyük Melek²,Postmus Pieter E²,Smit Vincent T H B M¹,Blom Sami³,Thüsen Jan H⁴,Cohen Danielle¹

Affiliation:

1. Department of Pathology Leiden University Medical Centre LeidenThe Netherlands

2. Department of Pulmonology Leiden University Medical Centre Leiden The Netherlands

3. Aiforia Technologies Oy Helsinki Finland

4. Department of Pathology Erasmus Medical Centre Rotterdam The Netherlands

Publisher

Wiley

Subject

General Medicine,Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/his.14571

Reference28 articles.

1. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

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3. Nivolumab Monotherapy for First-Line Treatment of Advanced Non–Small-Cell Lung Cancer

4. Pembrolizumab plus Chemotherapy in Metastatic Non–Small-Cell Lung Cancer

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