Nuclear shape, architecture and orientation features from H&E images are able to predict recurrence in node-negative gastric adenocarcinoma

Nuclear shape, architecture and orientation features from H&E images are able to predict recurrence in node-negative gastric adenocarcinoma

Abstract Background Identifying intestinal node-negative gastric adenocarcinoma (INGA) patients with high risk of recurrence could help perceive benefit of adjuvant therapy for INGA patients following surgical resection. This study evaluated whether the computer-extracted image features of nuclear s...

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Bibliographic Details
Main Authors: Meng-Yao Ji, Lei Yuan, Xiao-Da Jiang, Zhi Zeng, Na Zhan, Ping-Xiao Huang, Cheng Lu, Wei-Guo Dong
Format: Article
Language:English
Published: BMC 2019-03-01
Series:Journal of Translational Medicine
Subjects:
Digital H&E images
Predication
Negative-node gastric adenocarcinoma
Quantitative histomorphometric
Online Access:http://link.springer.com/article/10.1186/s12967-019-1839-x

Internet

http://link.springer.com/article/10.1186/s12967-019-1839-x

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