Accuracy of Classifying Lung Carcinoma Using Immunohistochemical Markers on Limited Biopsy Material: A Two-Center Study-Reference-Cited by-同舟云学术

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Accuracy of Classifying Lung Carcinoma Using Immunohistochemical Markers on Limited Biopsy Material: A Two-Center Study

Published:2022-12-26 Issue: Volume: Page:
ISSN:2168-8184
Container-title:Cureus
language:en
Short-container-title:

Author:

Hassan Amber,Alahmadi Shadi,Waqas Omer,Waseem Humaira,Abdelrahman Amer Shafie,Almansouri Majid,Mulla Nasser,Katib Yousef,Bakhsh Salwa I,Basheikh Mohammed,Abusikkien Samy A,Karami Mohamed Matoog,Al-Hajeili Marwan,Elbasateeny Samah S

Publisher

Cureus, Inc.

Subject

Aerospace Engineering

Reference30 articles.

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2. Classification and pathology of lung cancer;Zheng M;Surg Oncol Clin N Am,2016

3. Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning;Coudray N;Nat Med,2018

4. Lung cancer detection using CT scan images;Makaju S;Procedia Comput Sci,2018

5. The 2015 World Health Organization classification of lung tumors: impact of genetic, clinical and radiologic advances since the 2004 classification;Travis WD;J Thorac Oncol,2015

Cited by 2 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. Training immunophenotyping deep learning models with the same-section ground truth cell label derivation method improves virtual staining accuracy;Frontiers in Immunology;2024-06-28

2. Unlocking Precise Lung Cancer Detection Through Minimal Panel Immunostaining in Small Biopsy Samples;Cureus;2024-06-25

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