Cargando…
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
AIMS: Immunohistochemical programmed death‐ligand 1 (PD‐L1) staining to predict responsiveness to immunotherapy in patients with advanced non‐small cell lung cancer (NSCLC) has several drawbacks: a robust gold standard is lacking, and there is substantial interobserver and intraobserver variance, wi...
Autores principales: | Hondelink, Liesbeth M, Hüyük, Melek, Postmus, Pieter E, Smit, Vincent T H B M, Blom, Sami, von der Thüsen, Jan H, Cohen, Danielle |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9299490/ https://www.ncbi.nlm.nih.gov/pubmed/34786761 http://dx.doi.org/10.1111/his.14571 |
Ejemplares similares
-
Real-World Approach for Molecular Analysis of Acquired EGFR Tyrosine Kinase Inhibitor Resistance Mechanisms in NSCLC
por: Hondelink, Liesbeth M., et al.
Publicado: (2021) -
Automated and Manual Quantification of Tumour Cellularity in Digital Slides for Tumour Burden Assessment
por: Akbar, Shazia, et al.
Publicado: (2019) -
Deep Semi Supervised Generative Learning for Automated Tumor Proportion Scoring on NSCLC Tissue Needle Biopsies
por: Kapil, Ansh, et al.
Publicado: (2018) -
Semi-Supervised Learning to Automate Tumor Bud Detection in Cytokeratin-Stained Whole-Slide Images of Colorectal Cancer
por: Bokhorst, John-Melle, et al.
Publicado: (2023) -
SlideJ: An ImageJ plugin for automated processing of whole slide images
por: Della Mea, Vincenzo, et al.
Publicado: (2017)