Automatic segmentation of fibrosis in histological images of tissues stained with Picrosirius red using supervised and unsupervised machine learning algorithms
Year: 2024
Type: conference-paper
Abstract: Fibrosis results from excessive collagen deposition in organs after chronic inflammation, impairing their function. Collagen detection and quantification are essential for diagnosis and treatment, with Picrosirius Red (PSR) staining being a gold standard technique due to its high efficacy. This study aims to develop machine learning methods to segment collagen in histological images obtained with simple microscopy, comparing supervised and unsupervised techniques.
Institutions: Universidade Federal de São Paulo, Universidade de São Paulo
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4402126879