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Evaluation of the impact of domain adaptation on segmentation of Multiple Sclerosis lesions in MRI
(2021-01-01)
Multiple Sclerosis (MS) is a chronic and inflammatory disorder that causes degeneration of axons in brain white matter and spinal cord. Magnetic Resonance Imaging (MRI) is extensively used to identify MS lesions and evaluate ...
A CRITICAL ANALYSIS OF THE METHODS OF EVALUATING MRI BRAIN SEGMENTATION ALGORITHMS
(IEEE, 2017)
Many papers are published every year containing new methodologies for brain tissue segmentation in magnetic resonance images. The evaluation of these methods is fundamental to understand their behavior and to observe their ...
Fast automatic microstructural segmentation of ferrous alloy samples using optimum-path forest
(2010-05-21)
In this work we propose a novel automatic cast iron segmentation approach based on the Optimum-Path Forest classifier (OPF). Microscopic images from nodular, gray and malleable cast irons are segmented using OPF, and Support ...
Fast automatic microstructural segmentation of ferrous alloy samples using optimum-path forest
(2010-05-21)
In this work we propose a novel automatic cast iron segmentation approach based on the Optimum-Path Forest classifier (OPF). Microscopic images from nodular, gray and malleable cast irons are segmented using OPF, and Support ...
Fitness Functions Evaluation for Segmentation of Lymphoma Histological Images Using Genetic Algorithm
(Springer, 2018-01-01)
For disease monitoring, grade definition and treatments orientation, specialists analyze tissue samples to identify structures of different types of cancer. However, manual analysis is a complex task due to its subjectivity. ...
A New Method for Static Video Summarization Using Local Descriptors and Video Temporal Segmentation
(Scopus, 2013)
The continuous creation of digital video has caused an exponential growth of digital video content. To increase the usability of such large volume of videos, a lot of research has been made. Video summarization has been ...
Segmentation of images by color features: a survey
(Neurocomputing, 2018)
Application of Evolutionary Algorithms on Unsupervised Segmentation of Lymphoma Histological Images
(Ieee, 2017-01-01)
Histological images analysis is widely used to carry out diagnoses of different types of cancer. Digital image processing methods can be used for this purpose, leading to more objective diagnoses. Segmentation techniques ...
Automatic segmentation of the lumen region in intravascular images of the coronary artery
(Elsevier B.V., 2017-08-01)
Image assessment of the arterial system plays an important role in the diagnosis of cardiovascular diseases. The segmentation of the lumen and media-adventitia in intravascular (IVUS) images of the coronary artery is the ...
Infected Fruit Part Detection using K-Means Clustering Segmentation Technique
Nowadays, overseas commerce has increased drastically in many countries. Plenty fruits are imported from the other nations such as oranges, apples etc. Manual identification of defected fruit is very time consuming. This ...