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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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, ...