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, wit...

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Veröffentlicht in:	Histopathology 2022-03, Vol.80 (4), p.635-647
Hauptverfasser:	Hondelink, Liesbeth M, Hüyük, Melek, Postmus, Pieter E, Smit, Vincent T H B M, Blom, Sami, Thüsen, Jan H, Cohen, Danielle
Format:	Artikel
Sprache:	eng
Schlagworte:	Aged Aged, 80 and over Algorithms Apoptosis artificial intelligence B7-H1 Antigen - analysis Carcinoma, Non-Small-Cell Lung - chemistry computational pathology Deep Learning Discordance Female Humans Immunotherapy Ligands Lung cancer Lung Neoplasms - chemistry Male Middle Aged Neural networks Non-small cell lung carcinoma non‐small cell lung cancer Original PD-L1 protein programmed death‐ligand 1 Small cell lung carcinoma Tumors Visual perception
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