Spatiotemporal learning of dynamic positron emission tomography data improves diagnostic accuracy in breast cancer
Author:
Affiliation:
1. University of Rome Tor Vergata,Department of Biomedicine and Prevention,Rome,Italy
Funder
NVIDIA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871033.pdf?arnumber=9871033
Reference17 articles.
1. A Phase II Study of 3′-Deoxy-3′-18F-Fluorothymidine PET in the Assessment of Early Response of Breast Cancer to Neoadjuvant Chemotherapy: Results from ACRIN 6688
2. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
3. Radiomics in breast cancer classification and prediction
4. RUSBoost: A Hybrid Approach to Alleviating Class Imbalance
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