3 papers
cs.CV2025
VessShape: Few-shot 2D blood vessel segmentation by leveraging shape priors from synthetic images
Cesar H. Comin, Wesley N. Galvão
Semantic segmentation of blood vessels is an important task in medical image analysis, but its progress is often hindered by the scarcity of large annotated datasets and the poor g…
cs.CV2024
Evaluation of Blood Vessel Segmentation Methods on Hard-to-Detect Vascular Structures
João Pedro Parella, Matheus Viana da Silva, Cesar Henrique Comin
Due to the intricate structure of vascular trees, minor segmentation errors can significantly alter connectivity patterns and increase variability in extracted morphological proper…
cs.CV2024
A new dataset for measuring the performance of blood vessel segmentation methods under distribution shifts
Matheus Viana da Silva, Natália de Carvalho Santos, Julie Ouellette +2
Creating a dataset for training supervised machine learning algorithms can be a demanding task. This is especially true for medical image segmentation since one or more specialists…