OpenAlex
PricingAboutJobs
Log inGet started
Work

Computational pathology–based classifier for predicting Gleason grade group upgrading on radical prostatectomy from diagnostic biopsies.

HTML

Year: 2025
Type: conference-abstract
Source: Journal of Clinical Oncology
DOI: 10.1200/jco.2025.43.5_suppl.329
Authors: Abderrahim-Oussama Batouche, Sebastian Medina, Naoto Tokuyama, Kevin Sandeman, Antti Rannikko, Anant Madabhushi, Tuomas Mirtti
Institutions: University of Helsinki, The Wallace H. Coulter Department of Biomedical Engineering, Skåne University Hospital, Emory University, Helsinki University Hospital
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: closed

Funders: U.S. Department of Veterans Affairs, Syöpäjärjestöt, National Heart, Lung, and Blood Institute, National Institute of Biomedical Imaging and Bioengineering
OpenAlex ID: W4407702742
Cites:
Cited by:
Related to: 10
OpenAlex
Nonprofit
Open DataOpen Data
Open Source
Product
Search
Compare
Pricing
Repositories
Unpaywall
Unsub
Developers
API docs
Data snapshot
Status
Source code
Organization
About
Team
Testimonials
Brand
Jobs
Community
Help center
Contact
Events
Blog
Mailing list
Supporters
Legal
Privacy
Accessibility
Terms