Πλοήγηση ανά Θέμα "Microscopy images"
Αποτελέσματα 1-7 από 7
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Advanced block detection and quantification of fibrotic areas in microscopy images of obstructive nephropathy
(2012)Obstructive nephropathy is not a rare disease and experts need a tool, which will provide them fast and accurate reproducible results for disease assessment. In this work we deal with the analysis of biopsy images for the ... -
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 ... -
Cancer cells detection and pathology quantification utilizing image analysis techniques
(2012)This paper presents an advanced image analysis tool for the accurate and fast characterization and quantification of cancer and apoptotic cells in microscopy images utilizing adaptive thresholding and a Support Vector ... -
Intelligent planning of biomedical image mining workflows
(2010)The analysis and characterization of biomedical image data is a complex procedure involving several processing phases, like data acquisition, preprocessing, segmentation, feature extraction and classification. The proper ... -
An open data mining framework for the analysis of medical images: Application on Obstructive Nephropathy microscopy images
(2010)This paper presents an open image-mining framework that provides access to tools and methods for the characterization of medical images. Several image processing and feature extraction operators have been implemented and ... -
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 ... -
Unsupervised detection of fibrosis in microscopy images using fractals and fuzzy c-means clustering
(2012)The advances in improved fluorescent probes and better cameras in collaboration with the advent of computers in imaging and image analysis, assist the task of diagnosis in many fields of biologic and medical research. In ...