Browsing by Subject "Principal Components Analysis"
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Artificial Neural Networks and Principal Components Analysis for Detection of Idiopathic Pulmonary Fibrosis in Microscopy Images
(2013)In this study we present a computer assisted image identification and recognition tool that aims to help the diagnosis of idiopathic pulmonary fibrosis in microscopy images. To this end, we use principal components analysis ... -
A software tool for the automatic detection and quantification of fibrotic tissues in microscopy images
(2015)The high volume of pathological microscopy images deforming tissues make the fast quantification and detection of the corrupted regions extremely difficult. To tackle this problem, we present in this paper an automated ...