Open Information Extraction from 2007 to 2022 -- A Survey

no code implementations • 18 Aug 2022 • Pai Liu, Wenyang Gao, Wenjie Dong, Songfang Huang, Yue Zhang

Open information extraction is an important NLP task that targets extracting structured information from unstructured text without limitations on the relation type or the domain of the text.

Language Modelling Large Language Model +1

Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning

no code implementations • 8 Dec 2021 • Bijie Bai, Hongda Wang, Yuzhu Li, Kevin De Haan, Francesco Colonnese, Yujie Wan, Jingyi Zuo, Ngan B. Doan, Xiaoran Zhang, Yijie Zhang, Jingxi Li, Wenjie Dong, Morgan Angus Darrow, Elham Kamangar, Han Sung Lee, Yair Rivenson, Aydogan Ozcan

The immunohistochemical (IHC) staining of the human epidermal growth factor receptor 2 (HER2) biomarker is widely practiced in breast tissue analysis, preclinical studies and diagnostic decisions, guiding cancer treatment and investigation of pathogenesis.

Generative Adversarial Network whole slide images