AutoLDP: An accurate and efficient artificial intelligence-based tool for automatic labeling of digital pathology

AutoLDP: An accurate and efficient artificial intelligence-based tool for automatic labeling of digital pathology

Background: Whole-slide image (WSI) is foundational for artificial intelligence in tumor diagnosis, treatment planning, and prognosis prediction. Efficient management of WSI labels is crucial for clinical digitalization; however, manual or semiautomatic methods limit scalability. Enhancing automatic...

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Podrobná bibliografie
Hlavní autoři: Yingnan Zhao, Huifen Ye, Jing Yang, Su Yao, Maohua Lv, Zhihong Chen, Yunrui Ye, Qingru Hu, Cheng Lu, Zaiyi Liu, Ke Zhao, Zhihua Chen
Médium: Článek
Jazyk:English
Vydáno: Elsevier 2025-03-01
Edice:EngMedicine
Témata:
Digital pathology
Whole slide image
AutoLDP
Precision oncology
Deep learning
On-line přístup:http://www.sciencedirect.com/science/article/pii/S2950489925000065

Internet

http://www.sciencedirect.com/science/article/pii/S2950489925000065

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