Download from app store
We have detected that you are using an Ad Blocker.
PracticeUpdate is free to end users but we rely on advertising to fund our site. Please consider supporting PracticeUpdate by whitelisting us in your ad blocker.
We have sent a message to the email address you have provided, . If this email is not correct, please update your settings with your correct address.
The email address you provided during registration, , does not appear to be valid. Please update your settings with a valid address before to continue using PracticeUpdate.
Please provide your AHPRA Number to ensure that you are given the correct level of access to our site.
Glioblastoma Institute
Tumor Boards
Colleague Insights
Living Resources
Conferences
Video Expert Opinion
Sign in
Join now

In an effort to better serve our users, we have streamlined our content offering. As a result, we no longer publish new content or update existing content in Brain Cancer. Visit the 'Content & Subscriptions' tab of your Settings page at any time to update your Dashboard or Newsletter Subscription preferences to continue to see news and information that interests you most.

Published in Brain Cancer

Journal Scan / Research · July 27, 2022

Deep Learning–Based Automatic Detection of Brain Metastases in Heterogenous Multi-Institutional MRI Sets

International Journal of Radiation Oncology, Biology, Physics

 

 Save  Recommend
 Share

Additional Info

Disclosure statements are available on the authors' profiles:

Martin Tom MD

International Journal of Radiation Oncology, Biology, Physics
Deep Learning-Based Automatic Detection of Brain Metastases in Heterogenous Multi-Institutional MRI Sets: An Exploratory Analysis of NRG CC001
Int. J. Radiat. Oncol. Biol. Phys 2022 Jul 01;[EPub Ahead of Print], Y Liang, K Lee, JA Bovi, JD Palmer, PD Brown, V Gondi, WA Tomé, TLS Benzinger, MP Mehta, XA Li

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

Further Reading

Recently Updated