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 …
Automated approach for indirect immunofluorescence images classification based on unsupervised clustering method
Autoimmune diseases (ADs) are a collection of many complex disorders of unknown
aetiology resulting in immune responses to self‐antigens and are thought to result from …
aetiology resulting in immune responses to self‐antigens and are thought to result from …
[PDF][PDF] MC-Kmeans: an approach to cell image segmentation using clustering algorithms
M Gamarra, Y Manjarres, MT Torres… - Int. J. Artif. Intell, 2021 - aut.upt.ro
Digital image processing has been a fundamental tool for the diagnostic and treatment of
diseases. Several techniques have been used to analyze microscopic images in cell-level …
diseases. Several techniques have been used to analyze microscopic images in cell-level …
Applying the neuronetchic methodology to text images for their recognition
B Durnyak, O Tymchenko… - 2018 IEEE Second …, 2018 - ieeexplore.ieee.org
There is considered the methodology for recognizing text images based on neural networks,
methods and algorithms for building a neuro-fuzzy system for recognizing text images, in …
methods and algorithms for building a neuro-fuzzy system for recognizing text images, in …
[PDF][PDF] Bu acavoli
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 …
[PDF][PDF] HEp-2 Intensity Classification based on Deep Fine-tuning.
The classification of HEp-2 images, conducted through Indirect ImmunoFluorescence (IIF)
gold standard method, in the positive/negative classes, is the first step in the diagnosis of …
gold standard method, in the positive/negative classes, is the first step in the diagnosis of …
A modified unconscious search algorithm for data clustering
Clustering is a widely used data mining technique with a diverse set of applications. Since
clustering is an NP-hard problem, finding high-quality solutions for large-scale clustering …
clustering is an NP-hard problem, finding high-quality solutions for large-scale clustering …
[PDF][PDF] An Experimental Analysis of Preclustering Algorithms for Imprecise Points
I Slavchev - pure.tue.nl
Clustering is a method of grouping a set of objects into k clusters. The clusters are formed
such that objects in one cluster are more similar to each other than to objects in other …
such that objects in one cluster are more similar to each other than to objects in other …
[PDF][PDF] НЕЙРОМЕРЕЖЕВІ МЕТОДИ РОЗПІЗНАВАННЯ ЗОБРАЖЕНЬ ТЕКСТІВ
ОВ Тимченко, БМ Гавриш, БВ Дурняк - pvs.uad.lviv.ua
Проведено системний аналіз та порівняння методів розпізнавання текстових
зображень. Показано можливість застосування різних методів для реалізації зав дання …
зображень. Показано можливість застосування різних методів для реалізації зав дання …