Natália de Carvalho Santos

ORCID: 0000-0002-2317-0403
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About
Contact & Profiles
Research Areas
  • Cerebrovascular and Carotid Artery Diseases
  • Acute Ischemic Stroke Management
  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • Mental Health Research Topics
  • Medical Image Segmentation Techniques

Universidade de São Paulo
2025

Hospital Universitário da Universidade de São Paulo
2023

Creating a dataset for training supervised machine learning algorithms can be demanding task. This is especially true blood vessel segmentation since one or more specialists are usually required image annotation, and creating ground truth labels just single take up to several hours. In addition, it paramount that the annotated samples represent well different conditions might affect imaged tissues as possible changes in acquisition process. only achieved by considering typical atypical, even...

10.1371/journal.pone.0322048 article EN cc-by PLoS ONE 2025-05-27

Creating a dataset for training supervised machine learning algorithms can be demanding task. This is especially true medical image segmentation since one or more specialists are usually required annotation, and creating ground truth labels just single take up to several hours. In addition, it paramount that the annotated samples represent well different conditions might affect imaged tissues as possible changes in acquisition process. only achieved by considering typical atypical, even...

10.48550/arxiv.2301.04517 preprint EN cc-by arXiv (Cornell University) 2023-01-01
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