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Preprocessing of electrophoresis samples for subsequent classification
(Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2015)
This paper deals with the preprocessing of the elektroforeogram images that were created with respect to highest quality possible. The main goal is the preprocessing of the images based on the contrast enhancement and the ...
Segmentation of Ultrasound Images Based on Active Contours for Image Registration
(Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2015)
This paper describes the implementation of the segmentation method applied on ultrasound images, which is based on active contour models. The physical meaning of these models is represented by energy minimalisation of ...
Segmentation of Blood-Vessel Tree in Whole-Body MRI Data
(Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2015)
The aim of this paper is to introduce a method of blood-vessel tree segmentation in 3D volume and the visualization of the processed data. The method is based on the detection of tubular structures which the blood-vessels ...
A Comparison of Edge-Based and Region-Based Segmentation Performed with PDEs
(Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2016)
The paper discusses the level set segmentation method, which employs the solution of the partial differential equation (PDE) describing the multidimensional function whose zero slice in plane xy determines the contour of ...
Trainable Image Segmentation Using Deep Neural Networks
(Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2016)
This paper is focused on trainable segmentation of image with use of deep neural networks. In this paper, the principle of creating images from magnetic resonance, generating data with algorithm of sliding window, creating ...
Image Processing And Automatic Solving Of Nonograms
(Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2018)
In many puzzle books we come across logical puzzles like sudoku or nonograms (also known as griddlers or piccrosses), which demand mathematical logic to solve them. This article focuses on solving nonograms based on digital ...
U-Net Convolutional Neural Network For Tem Image Segmentation
(Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2018)
This work deals with the use of a convolutional neural network in the area of segmentation of images acquired with the use of a transmission electron microscope. Paper describes programming tool for image data augmentation, ...
3d Segmentation Of The Spinal Canal And Intervertebral Discs In Mri Data
(Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2018)
The concern of this work is development of the method for the spinal canal and intervertebral discs (IVD) segmentation in volume MRI data. The primary aim is to achieve the highest possible level of automation and accuracy ...
Pixel-Wise Segmentation Of The Blood Vessels Using Random Forests
(Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2018)
This paper presents segmentation of the blood vessels in retinal images. First, a serie of feature detectors is applied in form of multiple filters. Then, each pixel is classified using random forests, which was trained ...
Segmentation Of Cartilage Tissue In Micro Ct Images Of Mouse Embryos With Modified U-Net Convolutional Neural Network
(Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2019)
Manual segmentation of cartilage tissue in micro CT images of mouse embryos is a very time-consuming process and significantly increases the time required for the research of mammal facial structure development. It is ...