Cargando…
Development of an image classification pipeline for atherosclerotic plaques assessment using supervised machine learning
BACKGROUND: During atherosclerosis, the narrowing of the arterial lumen is observed through the accumulation of bio compounds and the formation of plaque within artery walls. A non-linear optical imaging modality (NLOM), coherent anti-stokes Raman scattering (CARS) microscopy, can be used to image l...
Autores principales: | Kunchur, Natasha N., Mostaço-Guidolin, Leila B. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9753267/ https://www.ncbi.nlm.nih.gov/pubmed/36517749 http://dx.doi.org/10.1186/s12859-022-05059-1 |
Ejemplares similares
-
Differentiating atherosclerotic plaque burden in arterial tissues using femtosecond CARS-based multimodal nonlinear optical imaging
por: Mostaço-Guidolin, Leila B., et al.
Publicado: (2010) -
Imaging Collagen in Scar Tissue: Developments in Second Harmonic Generation Microscopy for Biomedical Applications
por: Mostaço-Guidolin, Leila, et al.
Publicado: (2017) -
Repeatability of in vivo quantification of atherosclerotic carotid artery plaque components by supervised multispectral classification
por: Gao, Shan, et al.
Publicado: (2015) -
DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixels
por: Bohnslav, James P, et al.
Publicado: (2021) -
Data Processing Pipeline for Lipid Profiling of Carotid Atherosclerotic Plaque with Mass Spectrometry Imaging
por: Visscher, Mirjam, et al.
Publicado: (2019)