Add to ORKGStatistical region based active contour using a fractional entropy descriptor: Application to nuclei cell segmentation in confocal microscopy image
In this paper we address the problem of nuclear segmentation in cancer tissue images, that is critic...
We introduce a Markov random field (MRF)-driven region-based active contour model (MaRACel) for his...
In computer terms, segmentation is a process to partition or to divide an image based on the number ...
We propose an unsupervised statistical region based active contour approach integrating an original ...
Best Student Paper AwardInternational audienceIn the framework of cell structure characterization fo...
In this thesis a semi-automated cell analysis system is described through image processing. To achie...
A novel active contour model is proposed for segmentation images with inhomogeneity. Firstly, fracti...
Cell nuclei detection in fluorescent microscopic images is an important and time consuming task in a...
Abstract — Spatial intensity inhomogeneities (bias fields) caused by effects such as signal attenuat...
In recent years, the focus in biological science has shifted to understanding complex systems at the...
Cell nuclei detection in fluorescent microscopic images is an important and time consuming task in a...
Abstract — An approach to jointly estimate 3D shapes and poses of stained nuclei from confocal micro...
This paper presents a method to perform automated detection of cell nuclei. The method starts with a...
In this paper, we present two models for supervised scalar imagesegmentation based on the active con...
International audienceIn this paper we propose a brief survey on geometric variational approaches an...
In this paper we address the problem of nuclear segmentation in cancer tissue images, that is critic...
We introduce a Markov random field (MRF)-driven region-based active contour model (MaRACel) for his...
In computer terms, segmentation is a process to partition or to divide an image based on the number ...
We propose an unsupervised statistical region based active contour approach integrating an original ...
Best Student Paper AwardInternational audienceIn the framework of cell structure characterization fo...
In this thesis a semi-automated cell analysis system is described through image processing. To achie...
A novel active contour model is proposed for segmentation images with inhomogeneity. Firstly, fracti...
Cell nuclei detection in fluorescent microscopic images is an important and time consuming task in a...
Abstract — Spatial intensity inhomogeneities (bias fields) caused by effects such as signal attenuat...
In recent years, the focus in biological science has shifted to understanding complex systems at the...
Cell nuclei detection in fluorescent microscopic images is an important and time consuming task in a...
Abstract — An approach to jointly estimate 3D shapes and poses of stained nuclei from confocal micro...
This paper presents a method to perform automated detection of cell nuclei. The method starts with a...
In this paper, we present two models for supervised scalar imagesegmentation based on the active con...
International audienceIn this paper we propose a brief survey on geometric variational approaches an...
In this paper we address the problem of nuclear segmentation in cancer tissue images, that is critic...
We introduce a Markov random field (MRF)-driven region-based active contour model (MaRACel) for his...
In computer terms, segmentation is a process to partition or to divide an image based on the number ...