Work

Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-Empowered Learning

Year: 2023

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-031-43987-2_48

Authors: Ruining Deng, Yanwei Li, Peize Li, Jiacheng Wang, Lucas W. Remedios, Saydolimkhon Agzamkhodjaev, Zuhayr Asad, Quan Liu, Can Cui, Yaohong Wang, Yihan Wang, Yucheng Tang, Haichun Yang, Yuankai Huo

Institutions: Vanderbilt University, Vanderbilt University Medical Center, Nvidia (United States)

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases

Awards: G5993123900, G6718589257, G9000035539, G9000041293

OpenAlex ID: W4387211852

FWCI: 1.077

Cites: 28

Cited by: 6

Related to: 10