HIGHLIGHTS
- who: Ludovica Griffanti from the (HJF), United States The University of Texas Health Science have published the Article: Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine Learning, in the Journal: (JOURNAL)
- what: In this work, the aim is to develop a subject-level preselection method that is computationally light, easy to train and scalable to large datasets. Towards this aim, the authors propose a fully automated method using intensity, shape and location-based features for detecting CMB candidate subjects from large datasets such as the UK Biobank. For this experiment, the authors trained . . .
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