[HTML][HTML] A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis
Background Screening programs use mammography as primary diagnostic tool for detecting
breast cancer at an early stage. The diagnosis of some lesions, such as microcalcifications …
breast cancer at an early stage. The diagnosis of some lesions, such as microcalcifications …
[HTML][HTML] Automated Stabilization, Enhancement and Capillaries Segmentation in Videocapillaroscopy
Oral capillaroscopy is a critical and non-invasive technique used to evaluate
microcirculation. Its ability to observe small vessels in vivo has generated significant interest …
microcirculation. Its ability to observe small vessels in vivo has generated significant interest …
[HTML][HTML] Fuzzy technique for microcalcifications clustering in digital mammograms
Background Mammography has established itself as the most efficient technique for the
identification of the pathological breast lesions. Among the various types of lesions …
identification of the pathological breast lesions. Among the various types of lesions …
[HTML][HTML] Deep CNN for IIF images classification in autoimmune diagnostics
The diagnosis and monitoring of autoimmune diseases are very important problem in
medicine. The most used test for this purpose is the antinuclear antibody (ANA) test. An …
medicine. The most used test for this purpose is the antinuclear antibody (ANA) test. An …
Boosting Hankel matrices for face emotion recognition and pain detection
LL Presti, M La Cascia - Computer Vision and Image Understanding, 2017 - Elsevier
Studies in psychology have shown that the dynamics of emotional expressions play an
important role in face emotion recognition in humans. Motivated by these studies, in this …
important role in face emotion recognition in humans. Motivated by these studies, in this …
[HTML][HTML] Deep convolutional neural network for HEp-2 fluorescence intensity classification
Featured Application In this paper we describe an automatic system for fluorescence
intensity classification to support the autoimmune diagnostics in HEp-2 image analysis. The …
intensity classification to support the autoimmune diagnostics in HEp-2 image analysis. The …
A multi-process system for HEp-2 cells classification based on SVM
D Cascio, V Taormina, M Cipolla, S Bruno… - Pattern Recognition …, 2016 - Elsevier
This study addresses the classification problem of the HEp-2 cells using indirect
immunofluorescence (IIF) image analysis, which can indicate the presence of autoimmune …
immunofluorescence (IIF) image analysis, which can indicate the presence of autoimmune …
Computer‐assisted classification patterns in autoimmune diagnostics: the AIDA Project
A Benammar Elgaaied, D Cascio… - BioMed research …, 2016 - Wiley Online Library
Antinuclear antibodies (ANAs) are significant biomarkers in the diagnosis of autoimmune
diseases in humans, done by mean of Indirect ImmunoFluorescence (IIF) method, and …
diseases in humans, done by mean of Indirect ImmunoFluorescence (IIF) method, and …
[HTML][HTML] An automatic HEp-2 specimen analysis system based on an active contours model and an SVM classification
Featured Application In this paper we describe a complete system (fluorescence intensity
classification, image preprocessing, cell segmentation, cell classification, and image …
classification, image preprocessing, cell segmentation, cell classification, and image …
HEp-2 cell classification with heterogeneous classes-processes based on k-nearest neighbours
C Donato, T Vincenzo, C Marco… - 2014 1st Workshop …, 2014 - ieeexplore.ieee.org
We present a scheme for the feature extraction and classification of the fluorescence
staining patterns of HEp-2 cells in IIF images. We propose a set of complementary …
staining patterns of HEp-2 cells in IIF images. We propose a set of complementary …