Articles with "active contour" as a keyword



Automatic Liver Segmentation by Integrating Fully Convolutional Networks into Active Contour Models.

Sign Up to like & get
recommendations!
Published in 2019 at "Medical physics"

DOI: 10.1002/mp.13735

Abstract: PURPOSE Automatic and accurate 3D segmentation of liver with severe diseases from computed tomography (CT) images is a challenging task. Fully convolutional networks (FCN) have emerged as powerful tools for automatic semantic segmentation, with multiple… read more here.

Keywords: contour models; network; segmentation; liver ... See more keywords
Photo from wikipedia

A morphological approach to piecewise constant active contour model incorporated with the geodesic edge term

Sign Up to like & get
recommendations!
Published in 2020 at "Machine Vision and Applications"

DOI: 10.1007/s00138-020-01083-4

Abstract: Traditional level set-based image segmentation method has to solve the level set evolution equation which is the Euler–Lagrange equation of the energy functional defined on the image domain. Solving level set evolution equation is very… read more here.

Keywords: piecewise constant; active contour; model; constant active ... See more keywords

Detecting anomalous crowd scenes by oriented Tracklets’ approach in active contour region

Sign Up to like & get
recommendations!
Published in 2019 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-019-07806-8

Abstract: Video imagery based crowd analysis has become a topic of great interest for public safety at the venues of mass gathering events. This paper presents a novel approach to detect anomalous scene in high density… read more here.

Keywords: approach active; crowd; oriented tracklets; tracklets approach ... See more keywords

A fuzzy energy-based active contour model with adaptive contrast constraint for local segmentation

Sign Up to like & get
recommendations!
Published in 2018 at "Signal, Image and Video Processing"

DOI: 10.1007/s11760-017-1134-3

Abstract: Image segmentation is to divide an image into different parts or extract some interested objects. Active contour model and fuzzy clustering are two widely used segmentation methods, which have been integrated into an effective model… read more here.

Keywords: segmentation; local segmentation; model; active contour ... See more keywords

Boundary constraint factor embedded localizing active contour model for medical image segmentation

Sign Up to like & get
recommendations!
Published in 2019 at "Journal of Ambient Intelligence and Humanized Computing"

DOI: 10.1007/s12652-018-0978-x

Abstract: Medical image segmentation has been widely used in clinical practice. It is an important basis for medical experts to diagnose the disease. However, weak edges and intensity inhomogeneity (Niu et al. in 2nd IEEE international… read more here.

Keywords: active contour; segmentation; constraint factor; contour ... See more keywords

A new preprocessing parameter estimation based on geodesic active contour model for automatic vestibular neuritis diagnosis

Sign Up to like & get
recommendations!
Published in 2017 at "Artificial intelligence in medicine"

DOI: 10.1016/j.artmed.2017.07.005

Abstract: The diagnostic of the vestibular neuritis (VN) presents many difficulties to traditional assessment methods This paper deals with a fully automatic VN diagnostic system based on nystagmus parameter estimation using a pupil detection algorithm. A… read more here.

Keywords: estimation; parameter estimation; vestibular neuritis; active contour ... See more keywords

A novel myocardium segmentation approach based on neutrosophic active contour model

Sign Up to like & get
recommendations!
Published in 2017 at "Computer methods and programs in biomedicine"

DOI: 10.1016/j.cmpb.2017.02.020

Abstract: BACKGROUND AND OBJECTIVES Automatic delineation of the myocardium in echocardiography can assist radiologists to diagnosis heart problems. However, it is still challenging to distinguish myocardium from other tissue due to a low signal-to-noise ratio, low… read more here.

Keywords: contour model; active contour; method; myocardium ... See more keywords
Photo from archive.org

Comparative analysis of active contour and convolutional neural network in rapid left-ventricle volume quantification using echocardiographic imaging

Sign Up to like & get
recommendations!
Published in 2021 at "Computer methods and programs in biomedicine"

DOI: 10.1016/j.cmpb.2020.105914

Abstract: In cardiology, ultrasound is often used to diagnose heart disease associated with myocardial infarction. This study aims to develop robust segmentation techniques for segmenting the left ventricle (LV) in ultrasound images to check myocardium movement… read more here.

Keywords: left ventricle; segmentation; convolutional neural; active contour ... See more keywords
Photo from wikipedia

Active contour model based on LIF model and optimal DoG operator energy for image segmentation

Sign Up to like & get
recommendations!
Published in 2020 at "Optik"

DOI: 10.1016/j.ijleo.2019.163667

Abstract: Abstract In order to solve the problem that the region-based active contour model is sensitive to the initial contour position, the convergence is poor, and the active contour model can not obtain good segmentation results… read more here.

Keywords: energy; segmentation; model; active contour ... See more keywords

Frequency-tuned active contour model

Sign Up to like & get
recommendations!
Published in 2018 at "Neurocomputing"

DOI: 10.1016/j.neucom.2017.11.003

Abstract: Abstract Active contour model (ACM) is able to obtain sub-pixel precision segmentation and has been widely employed in biomedical image analysis and video segmentation. Existing region-based ACMs (RACM) without enough prior constraints, however, easily fail when segmenting… read more here.

Keywords: frequency; segmentation; model; active contour ... See more keywords

A robust active contour model driven by pre-fitting bias correction and optimized fuzzy c-means algorithm for fast image segmentation

Sign Up to like & get
recommendations!
Published in 2019 at "Neurocomputing"

DOI: 10.1016/j.neucom.2019.06.019

Abstract: Abstract Active contour model (ACM) is an effective method for image segmentation that has been widely used in various research fields. For images with severe intensity inhomogeneity, most existing ACMs show a poor segmentation performance.… read more here.

Keywords: active contour; model; bias correction; contour model ... See more keywords