Image segmentation is a central topic in image processing and computer vision and a key
issue in many applications, eg, in medical imaging, microscopy, document analysis and …

Microcalcifications (MCs) are considered as the first indicator of breast cancer development.
Their morphology, in terms of shape and size, is considered as the most important criterion …

Image segmentation has become one of the most important tasks in medical image analysis,
usually being required as the initial step for other tasks. During brain Magnetic Resonance …

Region growing is a classical image segmentation method based on hierarchical region
aggregation using local similarity rules. Our proposed method differs from classical region …

This collaborative study with Wind Power Lab and IRI aimed to enhance image
segmentation algorithms, specifically region growing, through innovative image …

In this paper, we propose a new Conditional Region Growing (CRG) approach with the
ability of finding the accurate MC boundaries starting from selected seed points. The starting …

Ce travail s' intéresse à l'interprétation d'images mammographiques pour la détection des
MCs. Partant d'un prétraitement, nous proposons une première méthode basée sur la …

DOCTORAL THESIS Analysis of microscopy images Page 1 CENTER FOR MACHINE
PERCEPTION CZECH TECHNICAL UNIVERSITY IN PRAGUE DOCTORAL THESIS ISSN …

This work aims at providing a fully automated processing and analysis pipeline for
microscope images of Drosophila melanogaster (fruit fly), which is a highly valuable study …