Automated identification of clinical features from sparsely annotated 3-dimensional medical imaging

Automated identification of clinical features from sparsely annotated 3-dimensional medical imaging

Abstract One of the core challenges in applying machine learning and artificial intelligence to medicine is the limited availability of annotated medical data. Unlike in other applications of machine learning, where an abundance of labeled data is available, the labeling and annotation of medical da...

Full description

Bibliographic Details
Main Authors: Nadav Rakocz, Jeffrey N. Chiang, Muneeswar G. Nittala, Giulia Corradetti, Liran Tiosano, Swetha Velaga, Michael Thompson, Brian L. Hill, Sriram Sankararaman, Jonathan L. Haines, Margaret A. Pericak-Vance, Dwight Stambolian, Srinivas R. Sadda, Eran Halperin
Format: Article
Language:English
Published: Nature Publishing Group 2021-03-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-021-00411-w

Internet

https://doi.org/10.1038/s41746-021-00411-w

Similar Items