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Unsupervised Segmentation Based on Robust Estimation and Color Active Contour Models

L. Yang, P. Meer, D.J. Foran
2005 IEEE Transactions on Information Technology in Biomedicine  
The unsupervised robust color snake with 2 robust estimation was shown to provide results which were superior to the other unsupervised approaches, and was comparable with supervised segmentation, as judged  ...  In this paper, we investigate the design, development, and implementation of a robust color gradient vector flow (GVF) active contour model for performing segmentation, using a database of 1791 imaged  ...  active contours for image segmentation.  ... 
doi:10.1109/titb.2005.847515 pmid:16167702 fatcat:hu76klwgirdjpdwkvxaepm3bnq

An Unsupervised Approach for Overlapping Cervical Cell Cytoplasm Segmentation [article]

Pranav Kumar, S L Happy, Swarnadip Chatterjee, Debdoot Sheet, Aurobinda Routray
2017 arXiv   pre-print
A modified Otsu method with prior class probability is proposed for accurate segmentation of nuclei from the cell clumps.  ...  Using distance regularized level set evolution, the contour around each nucleus is evolved until it reaches the cytoplasm boundaries.  ...  Active contour based methods are also quite popular in segmenting the boundaries of the cell cytoplasm [2] .  ... 
arXiv:1702.05506v1 fatcat:rbx4xa4gq5d4rc3apl4hk6sbci

Segmentation of Fluorescence Microscopy Cell Images Using Unsupervised Mining

Xian Du
2010 Open Medical Informatics Journal  
Due to the complex nature of cell issues and problems inherent to microscopy, unsupervised mining approaches of clustering can be incorporated in the segmentation of cells.  ...  In this study, we have developed and evaluated the performance of multiple unsupervised data mining techniques in cell image segmentation.  ...  Global Minimization of the Active Contour Model (GMAC) We choose the global minimization of the active contour model (GMAC) [16] to analyze the implementation of active contour in cell-image segmentation  ... 
doi:10.2174/1874431101004010041 pmid:21116323 pmcid:PMC2930152 fatcat:wskn7oe3f5cmbjvo2al4yg3mjq

Segmentation of Fluorescence Microscopy Cell Images Using Unsupervised Mining

Xian Du
2010 Open Medical Informatics Journal  
Due to the complex nature of cell issues and problems inherent to microscopy, unsupervised mining approaches of clustering can be incorporated in the segmentation of cells.  ...  In this study, we have developed and evaluated the performance of multiple unsupervised data mining techniques in cell image segmentation.  ...  Global Minimization of the Active Contour Model (GMAC) We choose the global minimization of the active contour model (GMAC) [16] to analyze the implementation of active contour in cell-image segmentation  ... 
doi:10.2174/1874325001004010041 fatcat:qegpkelgozfyjgp6jovpsyuapu

Automated segmentation of tissue images for computerized IHC analysis

S. Di Cataldo, E. Ficarra, A. Acquaviva, E. Macii
2010 Computer Methods and Programs in Biomedicine  
immunohistochemical images than popular approaches based on supervised learning or active contours.  ...  and morphological processing, exploits automated segmentation of the nuclear membranes of the cancerous cells.  ...  The active contours procedure for nuclear segmentation consists in feeding the above mentioned B-spline active contours with initial boundaries manually traced by an expert of the field; the information  ... 
doi:10.1016/j.cmpb.2010.02.002 pmid:20359767 fatcat:j2vuohqhrbhq7gvoy7wk2ufaea

Unsupervised Segmentation of Cervical Cell Images Using Gaussian Mixture Model

Srikanth Ragothaman, Sridharakumar Narasimhan, Madivala G Basavaraj, Rajan Dewar
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
This method is combined with shape based identification of nucleus to increase the accuracy of nucleus segmentation.  ...  This enables the algorithm to accurately trace the cells and nucleus contours from the pap smear images that contain cell clusters. The method also accounts for inconsistent staining, if any.  ...  The segmentation of nucleus alone without its cytoplasm has been executed in the past using watershed segmentation, edge based contour fitting and active contour methods [2, 3, 12] which require higher  ... 
doi:10.1109/cvprw.2016.173 dblp:conf/cvpr/RagothamanNBD16 fatcat:ec67nev52zak7bjm23z2ep4lyu

Segmentation and Modelling of the Nuclear Envelope of HeLa Cells Imaged with Serial Block Face Scanning Electron Microscopy

Cefa Karabağ, Martin L. Jones, Christopher J. Peddie, Anne E. Weston, Lucy M. Collinson, Constantino Carlos Reyes-Aldasoro
2019 Journal of Imaging  
The algorithm outperformed active contours in both accuracy and time.  ...  This paper describes an unsupervised algorithm, which segments the nuclear envelope of HeLa cells imaged by Serial Block Face Scanning Electron Microscopy.  ...  Active Contours In order to compare the algorithm segmentation with an alternative approach, the NE was segmented with Chan-Vese active contours methodology [56] (Figure 6 ).  ... 
doi:10.3390/jimaging5090075 pmid:34460669 fatcat:xu7754pr3jc27bc5tlbej4e2du

Cancerous Cell Detection Using Histopathological Image Analysis
English

Aashna Jain, Shwetal Atey, Satender Vinayak, Varun Srivastava
2014 International Journal of Innovative Research in Computer and Communication Engineering  
Using the described methodology, we successfully segmented the images to indicate clear cell boundaries and also, classified each cell into their corresponding groups of cancerous and non-cancerous type  ...  In this paper we have proposed a model for early stage cancerous cell detection and have reviewed and summarized the phases involved, namely, Image Pre-processing, Image Segmentation, Feature Extraction  ...  Many segmentation methods exist of which some are region based, texture based, gradient contour based, active contour based etc.  ... 
doi:10.15680/ijircce.2014.0212026 fatcat:rbrstqkpvna4vj646ptzignqkm

Active contours for overlapping cervical cell segmentation

Daniela Ushizima, Paulo Henrique Calaes Oliveira, Andrea G. Campos Bianchi, Fátima N.S. Medeiros, Jeová Farias Rocha Neto, Flávio H.D. Araújo, Romuere R.V. Silva
2021 International Journal of Biomedical Engineering and Technology  
The proposed method consists of three steps: 1) cellular mass segmentation; 2) nucleus segmentation; 3) cytoplasm identification based on an active contour method.  ...  However, the current segmentation algorithms are not robust to clinical practice due to the high computational cost or because they cannot accurately segment cells with high overlapping.  ...  The theoretical contribution of this work is the development of an active-contour-based segmentation technique that is tailored to cervical cells with high overlapping.  ... 
doi:10.1504/ijbet.2021.10035163 fatcat:klyh4odnb5cbtecpbrqmbsng6e

Unsupervised segmentation and classification of cervical cell images

Aslı Gençtav, Selim Aksoy, Sevgen Önder
2012 Pattern Recognition  
In this paper, we propose an unsupervised approach for the segmentation and classification of cervical cells.  ...  The segmentation process involves automatic thresholding to separate the cell regions from the background, a multi-scale hierarchical segmentation algorithm to partition these regions based on homogeneity  ...  [11] used the active contour algorithm to identify the cervical cell boundaries, applied thresholding to identify the nucleus within each cell, and then used a separate active contour for each nucleus  ... 
doi:10.1016/j.patcog.2012.05.006 fatcat:yxaxygnerncofbs2n4asfejsvu

Various Techniques for Classification and Segmentation of Cervical Cell Images - A Review

Bharti Sharma, Kamaljeet Kaur
2016 International Journal of Computer Applications  
The majority of cytoplasm segmentation uses K-means algorithm, edge detection method, thresholding approach, graph cut and active contours technique.  ...  The nucleus segmentation varies as: single-nucleus segmentation, touching-nuclei splitting and multiple-nuclei segmentation.  ...  [1] proposed an unsupervised approach for the segmentation of pap smear cells from Herlev and Hacettepe Pap smear dataset.  ... 
doi:10.5120/ijca2016911170 fatcat:aawlez3kvngffopg6wgj36ormq

Dual-Channel Active Contour Model for Megakaryocytic Cell Segmentation in Bone Marrow Trephine Histology Images

2017 IEEE Transactions on Biomedical Engineering  
2017) Dual-channel active contour model for megakaryocytic cell segmentation in bone marrow trephine histology images. IEEE Transactions on Biomedical Engineering Permanent WRAP URL:  ...  In [33] , Zhou et al. combine a local active contour model and an adaptive diffusion flow active contour model to improve medical segmentation in inhomogeneous regions with weak edges.  ...  Dual-Channel Active Contour Model for Megakaryocytic Cell Segmentation in Bone Marrow Trephine Histology Images Tzu-Hsi Song, Victor Sanchez, Member, IEEE, Hesham EIDaly, and Nasir M.  ... 
doi:10.1109/tbme.2017.2690863 pmid:28391186 fatcat:p4xqsueb7rewrhl24wcft3mfiq

Cytology Image Analysis Techniques Towards Automation: Systematically Revisited [article]

Shyamali Mitra, Nibaran Das, Soumyajyoti Dey, Sukanta Chakrabarty, Mita Nasipuri, Mrinal Kanti Naskar
2020 arXiv   pre-print
Cytology is the branch of pathology which deals with the microscopic examination of cells for diagnosis of carcinoma or inflammatory conditions.  ...  We take a short tour to 17 types of cytology and explore various segmentation and/or classification techniques which evolved during last three decades boosting the concept of automation in cytology.  ...  [60] proposed nucleus segmentation technique using watershed, Active contour and Cellular automata Grow cut techniques.  ... 
arXiv:2003.07529v1 fatcat:eossjujftzflbfnfhbsw55tlta

A Two-Phase Segmentation of Cell Nuclei Using Fast Level Set-Like Algorithms [chapter]

Martin Maška, Ondřej Daněk, Carlos Ortiz-de-Solórzano, Arrate Muñoz-Barrutia, Michal Kozubek, Ignacio Fernández García
2009 Lecture Notes in Computer Science  
In this paper, we present a novel approach to the cell nucleus segmentation in fluorescence microscope images exploiting the level set framework. The proposed method works in two phases.  ...  An accurate localization of a cell nucleus boundary is inevitable for any further quantitative analysis of various subnuclear structures within the cell nucleus.  ...  one (e.g. segmentation of two touching nuclei starting with two separated contours, each labeling exactly one nucleus).  ... 
doi:10.1007/978-3-642-02230-2_40 fatcat:udg4nyaedvahlnaoxbejxnhv5i

Cell Microscopic Segmentation with Spiking Neuron Networks [chapter]

Boudjelal Meftah, Olivier Lezoray, Michel Lecluse, Abdelkader Benyettou
2010 Lecture Notes in Computer Science  
In this paper, we present how SNN can be applied with efficacy for cell microscopic image segmentation. Results obtained confirm the validity of the approach.  ...  Quantitative measures are used to evaluate the resulting segmentations.  ...  Application of active contour has been widely investigated for cell segmentation [10] , [11] .  ... 
doi:10.1007/978-3-642-15819-3_16 fatcat:2jp5af3rfrep5fckfqpli3u2yi
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