Work

A Large-scale Synthetic Pathological Dataset for Deep Learning-enabled Segmentation of Breast Cancer

Year: 2022

Type: dataset

Abstract: Dataset access for the paper: A Large-scale Synthetic Pathological Dataset for Deep Learning-enabled Segmentation of Breast Cancer

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.6633720

Authors: Kexin Ding, Zhou, Mu, Wang, He, Gevaert, Olivier, Metaxas, Dimitris, Shaoting Zhang

Institutions: University of North Carolina at Charlotte, Yale University, Stanford Medicine, Stanford University, Rutgers, The State University of New Jersey, Shanghai Artificial Intelligence Laboratory

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4393669364

Cites:

Cited by: 1

Related to: 10