Tumor-identification method for predicting recurrence of early-stage lung adenocarcinoma using digital pathology images by machine learning

Tumor-identification method for predicting recurrence of early-stage lung adenocarcinoma using digital pathology images by machine learning

Lung cancer is one of the cancers with the highest morbidity and mortality in the world. Recurrence often occurs even after complete resection of early-stage lung cancer, and prediction of recurrence after resection is clinically important. However, the pathological characteristics of the recurrence...

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Bibliographic Details
Main Authors: Hideharu Hattori, Shingo Sakashita, Masahiro Tsuboi, Genichiro Ishii, Toshiyuki Tanaka
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Journal of Pathology Informatics
Subjects:
Pathological image
Convolutional neural network
Tumor tissue
Lung adenocarcinoma
H&E staining
Online Access:http://www.sciencedirect.com/science/article/pii/S2153353922007751

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http://www.sciencedirect.com/science/article/pii/S2153353922007751

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