20.4.1.1 Cell Nucleus, Cell Nuclei Analysis, Detection

Chapter Contents (Back)
Cells. Nuclei. Cell Nucleus.

CR Chisto Labeled Nuclei Dataset,
Online2016
WWW Link. Dataset, Nuclei. 1602
Dataset of colorectal cancer histology images consisting of nearly 30,000 dotted nuclei with over 22,000 labeled with the type of cell they belong to. BibRef

Ott, R., Schürmann, J., Reinhardt, E.R., Bloss, W.H.,
Automated classification of cytological specimens based on features extracted from nuclei images,
PR(13), No. 1, 1981, pp. 83-87.
WWW Link. 0309
BibRef

Bamford, P.[Pascal], Lovell, B.C.[Brian C.],
Unsupervised cell nucleus segmentation with active contours,
SP(71), No. 2, 15 December 1998, pp. 203-213. BibRef 9812
Earlier:
Bayesian Analysis of Cell Nucleus Segmentation by a Viterbi Search Based Active Contour,
ICPR98(Vol I: 133-135).
IEEE DOI 9808
BibRef
And:
Improving the Robustness of Cell Nucleus Segmentation,
BMVC98(xx-yy). BibRef

Yang, S., Kohler, D., Teller, K., Cremer, T., Le Baccon, P., Heard, E., Eils, R., Rohr, K.,
Nonrigid Registration of 3-D Multichannel Microscopy Images of Cell Nuclei,
IP(17), No. 4, April 2008, pp. 493-499.
IEEE DOI 0803
BibRef

Kim, I.H., Chen, Y.C.M., Spector, D.L., Eils, R., Rohr, K.,
Nonrigid Registration of 2-D and 3-D Dynamic Cell Nuclei Images for Improved Classification of Subcellular Particle Motion,
IP(20), No. 4, April 2011, pp. 1011-1022.
IEEE DOI 1103
BibRef

McCullough, D.P., Gudla, P.R., Harris, B.S., Collins, J.A., Meaburn, K.J., Nakaya, M.A., Yamaguchi, T.P., Misteli, T., Lockett, S.J.,
Segmentation of Whole Cells and Cell Nuclei From 3-D Optical Microscope Images Using Dynamic Programming,
MedImg(27), No. 5, May 2008, pp. 723-734.
IEEE DOI 0711
BibRef

Yu, D.G.[Dong-Gang], Pham, T.D.[Tuan D.], Zhou, X.B.[Xiao-Bo], Wong, S.T.C.[Stephen T.C.],
Recognition and analysis of cell nuclear phases for high-content screening based on morphological features,
PR(42), No. 4, April 2009, pp. 498-508.
Elsevier DOI 0812
Nuclei phases; Cell screening; Feature extraction; Morphological feature; Feed-forward detection; Feed-back detection; Shape recognition; Normal cellular cycle BibRef

Cloppet, F., Boucher, A.,
Segmentation of complex nucleus configurations in biological images,
PRL(31), No. 8, 1 June 2010, pp. 755-761.
Elsevier DOI 1004
BibRef
Earlier:
Segmentation of overlapping/aggregating nuclei cells in biological images,
ICPR08(1-4).
IEEE DOI 0812
Nucleus segmentation; Prior information; Watershed-based segmentation; Biomedical imaging BibRef

Quelhas, P., Marcuzzo, M., Mendonca, A.M., Campilho, A.,
Cell Nuclei and Cytoplasm Joint Segmentation Using the Sliding Band Filter,
MedImg(29), No. 8, August 2010, pp. 1463-1473.
IEEE DOI 1008
BibRef

Quelhas, P.[Pedro], Mendonca, A.M.[Ana Maria], Campilho, A.[Aurelio],
3D Cell Nuclei Fluorescence Quantification Using Sliding Band Filter,
ICPR10(2508-2511).
IEEE DOI 1008
BibRef

Marcuzzo, M.[Monica], Quelhas, P.[Pedro], Mendonça, A.M.[Ana Maria], Campilho, A.[Aurélio],
Evaluation of Symmetry Enhanced Sliding Band Filter for Plant Cell Nuclei Detection in Low Contrast Noisy Fluorescent Images,
ICIAR09(824-831).
Springer DOI 0907
BibRef

Carleos, C.[Carlos], López-Díaz, M.C.[M. Concepción], López-Díaz, M.[Miguel],
A Stochastic Order of Shape Variability with an Application to Cell Nuclei Involved in Mastitis,
JMIV(38), No. 2, October 2010, pp. 95-107.
WWW Link. 1011
BibRef

Carleos, C.[Carlos], López-Díaz, M.C.[María Concepción], López-Díaz, M.[Miguel],
Ranking Star-Shaped Valued Mappings with Respect to Shape Variability,
JMIV(48), No. 1, January 2014, pp. 1-12.
Springer DOI 1402
BibRef

Plissiti, M.E.[Marina E.], Nikou, C.[Christophoros], Charchanti, A.[Antonia],
Combining shape, texture and intensity features for cell nuclei extraction in Pap smear images,
PRL(32), No. 6, 15 April 2011, pp. 838-853.
Elsevier DOI 1103
Cell nuclei segmentation; Pap smear images; Morphological reconstruction; Watersheds; Feature selection; Clustering BibRef

Plissiti, M.E.[Marina E.], Vrigkas, M., Nikou, C.[Christophoros],
Segmentation of cell clusters in Pap smear images using intensity variation between superpixels,
WSSIP15(184-187)
IEEE DOI 1603
CCD image sensors BibRef

Wang, W., Ozolek, J.A., Slepcev, D., Lee, A.B., Chen, C., Rohde, G.K.,
An Optimal Transportation Approach for Nuclear Structure-Based Pathology,
MedImg(30), No. 3, March 2011, pp. 621-631.
IEEE DOI 1103
BibRef

Wang, W.[Wei], Slepcev, D.[Dejan], Basu, S.[Saurav], Ozolek, J.A.[John A.], Rohde, G.K.[Gustavo K.],
A Linear Optimal Transportation Framework for Quantifying and Visualizing Variations in Sets of Images,
IJCV(101), No. 2, January 2013, pp. 254-269.
WWW Link. 1302
BibRef

Kolouri, S.[Soheil], Tosun, A.B.[Akif B.], Ozolek, J.A.[John A.], Rohde, G.K.[Gustavo K.],
A continuous linear optimal transport approach for pattern analysis in image datasets,
PR(51), No. 1, 2016, pp. 453-462.
Elsevier DOI 1601
Optimal transport BibRef

Han, J.W.[Ji Wan], Breckon, T.P.[Toby P.], Randell, D.A.[David A.], Landini, G.[Gabriel],
The application of support vector machine classification to detect cell nuclei for automated microscopy,
MVA(23), No. 1, January 2012, pp. 15-24.
WWW Link. 1201
BibRef

Esteves, T.[Tiago], Quelhas, P.[Pedro], Mendonça, A.M.[Ana Maria], Campilho, A.[Aurélio],
Gradient convergence filters and a phase congruency approach for in vivo cell nuclei detection,
MVA(23), No. 4, July 2012, pp. 623-638.
WWW Link. 1206
BibRef

Plissiti, M.E., Nikou, C.,
Overlapping Cell Nuclei Segmentation Using a Spatially Adaptive Active Physical Model,
IP(21), No. 11, November 2012, pp. 4568-4580.
IEEE DOI 1210
BibRef

Chang, H., Han, J., Borowsky, A., Loss, L., Gray, J.W., Spellman, P.T., Parvin, B.,
Invariant Delineation of Nuclear Architecture in Glioblastoma Multiforme for Clinical and Molecular Association,
MedImg(32), No. 4, April 2013, pp. 670-682.
IEEE DOI 1304
BibRef

Moussavi, F., Wang, Y., Lorenzen, P., Oakley, J., Russakoff, D., Gould, S.,
A Unified Graphical Models Framework for Automated Mitosis Detection in Human Embryos,
MedImg(33), No. 7, July 2014, pp. 1551-1562.
IEEE DOI 1407
Computational modeling BibRef

Widmer, C.[Christian], Heinrich, S.[Stephanie], Drewe, P.[Philipp], Lou, X.[Xinghua], Umrania, S.[Shefali], Rätsch, G.[Gunnar],
Graph-regularized 3D shape reconstruction from highly anisotropic and noisy images,
SIViP(8), No. S1, December 2014, pp. 41-48.
Springer DOI 1411
cellular nuclear segmentation in microscope images. BibRef

Pecot, T., Bouthemy, P., Boulanger, J., Chessel, A., Bardin, S., Salamero, J., Kervrann, C.,
Background Fluorescence Estimation and Vesicle Segmentation in Live Cell Imaging With Conditional Random Fields,
IP(24), No. 2, February 2015, pp. 667-680.
IEEE DOI 1502
adhesion BibRef

Paul, A., Mukherjee, D.P.,
Mitosis Detection for Invasive Breast Cancer Grading in Histopathological Images,
IP(24), No. 11, November 2015, pp. 4041-4054.
IEEE DOI 1509
biological organs BibRef

Zhang, W., Fehrenbach, J., Desmaison, A., Lobjois, V., Ducommun, B., Weiss, P.,
Structure Tensor Based Analysis of Cells and Nuclei Organization in Tissues,
MedImg(35), No. 1, January 2016, pp. 294-306.
IEEE DOI 1601
Anisotropic magnetoresistance BibRef

Bejnordi, B.E.[B. Ehteshami], Litjens, G., Timofeeva, N., Otte-Holler, I., Homeyer, A., Karssemeijer, N., van der Laak, J.A.W.M.,
Stain Specific Standardization of Whole-Slide Histopathological Images,
MedImg(35), No. 2, February 2016, pp. 404-415.
IEEE DOI 1602
Design automation BibRef

Gharipour, A.[Amin], Liew, A.W.C.[Alan Wee-Chung],
Segmentation of cell nuclei in fluorescence microscopy images: An integrated framework using level set segmentation and touching-cell splitting,
PR(58), No. 1, 2016, pp. 1-11.
Elsevier DOI 1606
Fluorescence microscopy images BibRef

Ram, S., Rodríguez, J.J.,
Size-Invariant Detection of Cell Nuclei in Microscopy Images,
MedImg(35), No. 7, July 2016, pp. 1753-1764.
IEEE DOI 1608
biomedical optical imaging BibRef

Shahul Hameed, K.A., Banumathi, A., Ulaganathan, G.,
P53immunostained cell nuclei segmentation in tissue images of oral squamous cell carcinoma,
SIViP(11), No. 2, February 2017, pp. 363-370.
WWW Link. 1702
BibRef

Zhang, W.J.[Wan-Jun], Li, H.Q.[Hui-Qi],
Automated segmentation of overlapped nuclei using concave point detection and segment grouping,
PR(71), No. 1, 2017, pp. 349-360.
Elsevier DOI 1707
Nuclei, segmentation BibRef

Kumar, N., Verma, R., Sharma, S., Bhargava, S., Vahadane, A., Sethi, A.,
A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology,
MedImg(36), No. 7, July 2017, pp. 1550-1560.
IEEE DOI 1707
Diseases, Image color analysis, Image segmentation, Machine learning, Measurement, Pathology, Training, Annotation, boundaries, dataset, deep learning, nuclear segmentation, nuclei BibRef


Baykal, E.[Elif], Dogan, H.[Hulya], Ekinci, M.[Murat], Ercin, M.E.[Mustafa Emre], Ersoz, S.[Safak],
Automated Cell Nuclei Segmentation in Pleural Effusion Cytology Using Active Appearance Model,
CAIP17(II: 59-69).
Springer DOI 1708
BibRef

Bayramoglu, N.[Neslihan], Heikkilä, J.[Janne],
Transfer Learning for Cell Nuclei Classification in Histopathology Images,
TASKCV16(III: 532-539).
Springer DOI 1611
BibRef

Scherzinger, A.[Aaron], Kleene, F.[Florian], Dierkes, C.[Cathrin], Kiefer, F.[Friedemann], Hinrichs, K.H.[Klaus H.], Jiang, X.Y.[Xiao-Yi],
Automated Segmentation of Immunostained Cell Nuclei in 3D Ultramicroscopy Images,
GCPR16(105-116).
Springer DOI 1611
BibRef

Bortsova, G.[Gerda], Sterr, M.[Michael], Wang, L.[Lichao], Milletari, F.[Fausto], Navab, N.[Nassir], Böttcher, A.[Anika], Lickert, H.[Heiko], Theis, F.[Fabian], Peng, T.[Tingying],
Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields,
MLMI16(287-295).
Springer DOI 1611
BibRef

Wu, J.J.[Jin-Jie], Shi, J.[Jun], Ying, S.[Shihui], Zhang, Q.[Qi], Li, Y.[Yan],
Learning Representation for Histopathological Image with Quaternion Grassmann Average Network,
MLMI16(122-129).
Springer DOI 1611
BibRef

Fouad, S.[Shereen], Landini, G.[Gabriel], Randell, D.[David], Galton, A.[Antony],
Morphological Separation of Clustered Nuclei in Histological Images,
ICIAR16(599-607).
Springer DOI 1608
BibRef

Labayrade, R.[Raphael], Ngo, M.[Mathias],
Multi-genomic curve extraction,
MVA15(283-286)
IEEE DOI 1507
Biological cells BibRef

Mazurek, P.[Przemyslaw], Oszutowska-Mazurek, D.[Dorota],
Multi-layer Lacunarity for Texture Recognition,
ICCVG16(174-183).
Springer DOI 1611
BibRef

Oszutowska-Mazurek, D.[Dorota], Mazurek, P.[Przemyslaw], Sycz, K.[Kinga], Waker-Wójciuk, G.[Grazyna],
Lacunarity Based Estimator for the Analysis of Cell Nuclei from the Papanicolaou Smears,
ICCVG14(486-493).
Springer DOI 1410
BibRef

Qi, J.[Jin], Wang, B., Pelaez, N., Rebay, L., Carthew, R.W., Katsaggelos, A.K., Nunes Amaral, L.A.,
Drosophila eye nuclei segmentation based on graph cut and convex shape prior,
ICIP13(670-674)
IEEE DOI 1402
Algorithm design and analysis BibRef

Bessa, S.[Sílvia], Quelhas, P.[Pedro], Amaral, I.F.[Isabel F.],
Automatic Quantification of Cell Outgrowth from Neurospheres,
IbPRIA13(141-148).
Springer DOI 1307
BibRef

Ferro, L.[Luis], Leal, P.[Pedro], Marques, M.[Marco], Maciel, J.[Joana], Oliveira, M.I.[Marta I.],
Multinuclear Cell Analysis Using Laplacian of Gaussian and Delaunay Graphs,
IbPRIA13(441-449).
Springer DOI 1307
BibRef

Zeng, Z.M.[Zi-Ming], Strange, H.[Harry], Han, C.[Chunlei], Zwiggelaar, R.[Reyer],
Unsupervised Cell Nuclei Segmentation Based on Morphology and Adaptive Active Contour Modelling,
ICIAR13(605-612).
Springer DOI 1307
BibRef

Li, X., Cheah, C.C.,
Observer based adaptive control for optical manipulation of cell,
ICARCV12(1323-1328).
IEEE DOI 1304
BibRef

Huang, C.H.[Chao-Hui], Lee, H.K.[Hwee-Kuan],
Automated mitosis detection based on eXclusive Independent Component Analysis,
ICPR12(1856-1859).
WWW Link. 1302
BibRef

de Vylder, J.[Jonas], Aelterman, J.[Jan], Vandewoestyne, M.[Mado], Lepez, T.[Trees], Deforce, D.[Dieter], Philip, W.[Wilfried],
Cell Nuclei Detection Using Globally Optimal Active Contours with Shape Prior,
ISVC12(II: 115-124).
Springer DOI 1209
BibRef

Ram, S.[Sundaresh], Rodriguez, J.J.[Jeffrey J.], Bosco, G.[Giovanni],
Size-invariant cell nucleus segmentation in 3-D microscopy,
Southwest12(37-40).
IEEE DOI 1205
BibRef

Kang, S.[Sukryool], Giurumescu, C.A.[Claudiu A.], Chisholm, A.D.[Andrew D.], Cosman, P.[Pamela],
Automated nuclei tracking in C. elegans based on spherical model fitting with multiple target tracking,
Southwest12(17-20).
IEEE DOI 1205
BibRef

Zhang, C.[Chao], Sun, C.M.[Chang-Ming], Pham, T.D.,
Clustered Nuclei Splitting Using Curvature Information,
DICTA11(352-357).
IEEE DOI 1205
BibRef

Ibba, A.[Alessandro], Duin, R.P.W.[Robert P.W.], Loog, M.[Marco],
Supervised localization of cell nuclei on TMA images,
MMBIA12(4321-4327).
IEEE DOI 1203
BibRef

Hammoudi, A.A.[Ahmad A.], Li, F.[Fuhai], Gao, L.[Liang], Wang, Z.Y.[Zhi-Yong], Thrall, M.J.[Michael J.], Massoud, Y.[Yehia], Wong, S.T.C.[Stephen T. C.],
Automated Nuclear Segmentation of Coherent Anti-Stokes Raman Scattering Microscopy Images by Coupling Superpixel Context Information with Artificial Neural Networks,
MLMI11(317-325).
Springer DOI 1109
BibRef

Schüffler, P.[Peter], Ulas, A.[Aydin], Castellani, U.[Umberto], Murino, V.[Vittorio],
A Multiple Kernel Learning Algorithm for Cell Nucleus Classification of Renal Cell Carcinoma,
CIAP11(I: 413-422).
Springer DOI 1109
BibRef

Xia, C.[Cong], Chen, J.S.[Jian-Sheng], Hu, C.H.[Chun-Hua], Su, G.D.[Guang-Da], Hao, H.W.[Hong-Wei], Ma, Y.[Yu],
Segmenting the Subthalamic Nucleus Using Narrow Band Limited Variational Level Set Method,
ICIG11(372-376).
IEEE DOI 1109
BibRef

Malon, C.[Christopher], Cosatto, E.[Eric],
Dynamic Radial Contour Extraction by Splitting Homogeneous Areas,
CAIP11(I: 269-277).
Springer DOI 1109
Radial contour around a point, e.g. cell nucleus. BibRef

Keuper, M.[Margret], Schmidt, T.[Thorsten], Padeken, J.[Jan], Heun, P.[Patrick], Palme, K.[Klaus], Burkhardt, H.[Hans], Ronneberger, O.[Olaf],
3D Deformable Surfaces with Locally Self-Adjusting Parameters: A Robust Method to Determine Cell Nucleus Shapes,
ICPR10(2254-2257).
IEEE DOI 1008
BibRef

Zhang, J.[Jun], Hu, J.L.[Jing-Lu],
Nuclei Extraction Based on Multi-channel Information,
DICTA08(59-64).
IEEE DOI 0812
BibRef

Keuper, M.[Margret], Padeken, J.[Jan], Heun, P.[Patrick], Burkhardt, H.[Hans], Ronneberger, O.[Olaf],
A 3D Active Surface Model for the Accurate Segmentation of Drosophila Schneider Cell Nuclei and Nucleoli,
ISVC09(I: 865-874).
Springer DOI 0911
BibRef

Maška, M.[Martin], Danek, O.[Ondrej], Ortiz-de-Solórzano, C.[Carlos], Muñoz-Barrutia, A.[Arrate], Kozubek, M.[Michal], García, I.F.[Ignacio Fernández],
A Two-Phase Segmentation of Cell Nuclei Using Fast Level Set-Like Algorithms,
SCIA09(390-399).
Springer DOI 0906
BibRef

Danek, O.[Ondrej], Matula, P.[Pavel],
An Improved Riemannian Metric Approximation for Graph Cuts,
DGCI11(71-82).
Springer DOI 1104
BibRef

Danek, O.[Ondrej], Matula, P.[Pavel], Ortiz-de-Solórzano, C.[Carlos], Muñoz-Barrutia, A.[Arrate], Maška, M.[Martin], Kozubek, M.[Michal],
Segmentation of Touching Cell Nuclei Using a Two-Stage Graph Cut Model,
SCIA09(410-419).
Springer DOI 0906
BibRef

Hafiane, A.[Adel], Bunyak, F.[Filiz], Palaniappan, K.[Kannappan],
Clustering initiated multiphase active contours and robust separation of nuclei groups for tissue segmentation,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Boucheron, L.E.[Laura E.], Harvey, N.R.[Neal R.], Manjunath, B.S.,
A Quantitative Object-Level Metric for Segmentation Performance and Its Application to Cell Nuclei,
ISVC07(I: 208-219).
Springer DOI 0711
BibRef

Palacios, G.[Guillermo], Beltran, J.R.[Jose R.],
Cell Nuclei Segmentation Combining Multiresolution Analysis, Clustering Methods and Colour Spaces,
IMVIP07(91-97).
IEEE DOI 0709
BibRef

Siva, P.[Parthipan], Brodland, G.W.[G. Wayne], Clausi, D.A.[David A.],
Automated Detection of Mitosis in Embryonic Tissues,
CRV07(97-104).
IEEE DOI 0705
BibRef

Schulz, J.[Janina], Schmidt, T.[Thorsten], Ronneberger, O.[Olaf], Burkhardt, H.[Hans], Pasternak, T.[Taras], Dovzhenko, A.[Alexander], Palme, K.[Klaus],
Fast Scalar and Vectorial Grayscale Based Invariant Features for 3D Cell Nuclei Localization and Classification,
DAGM06(182-191).
Springer DOI 0610
BibRef

Restif, C.[Christophe],
Towards Safer, Faster Prenatal Genetic Tests: Novel Unsupervised, Automatic and Robust Methods of Segmentation of Nuclei and Probes,
ECCV06(IV: 437-450).
Springer DOI 0608
BibRef

Hu, M.[Min], Ping, X.[Xijian], Ding, Y.H.[Yi-Hong],
A new active contour model and its application on cell segmentation,
ICARCV04(II: 1104-1107).
IEEE DOI 0412
BibRef
And:
Automated cell nucleus segmentation using improved snake,
ICIP04(IV: 2737-2740).
IEEE DOI 0505
BibRef

Begelman, G., Gur, E., Rivlin, E., Radzsky, M., Zalevsky, Z.,
Cell nuclei segmentation using fuzzy logic engine,
ICIP04(V: 2937-2940).
IEEE DOI 0505
BibRef

Clocksin, W.F.,
Automatic segmentation of overlapping nuclei with high background variation using robust estimation and flexible contour models,
CIAP03(682-687).
IEEE DOI 0310
BibRef

Bengtsson, E.[Ewert],
Image Processing and Its Hardware Support Analysis vs Synthesis: Historical Trends,
SCIA17(I: 3-14).
Springer DOI 1706
BibRef

Bengtsson, E.[Ewert],
Computerized Cell Image Analysis: Past, Present, and Future,
SCIA03(395-407).
Springer DOI 0310
BibRef

Wählby, C.[Carolina], Bengtsson, E.[Ewert],
Segmentation of Cell Nuclei in Tissue by Combining Seeded Watersheds with Gradient Information,
SCIA03(408-414).
Springer DOI 0310
BibRef

Netten, H., Young, I.T., Prins, M., van Vliet, L.J., Tanke, H., Vrolijk, H., Sloos, W.,
Automation of fluorescent dot counting in cell nuclei,
ICPR94(A:84-87).
IEEE DOI 9410
BibRef

Strasters, K.C., Smeulders, A.W.M., van der Voort, H.T.M., Young, I.T., Nanninga, N.,
Quantitative 3-D texture analysis of interphase cell nuclei,
ICPR92(III:767-770).
IEEE DOI 9208
BibRef

O'Gorman, L., Sanderson, A.C., Preston, Jr., K., and Dekker, A.,
Image Segmentation and Nucleus Classification for Automated Tissue Section Analysis,
CVPR83(89-94). BibRef 8300

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Extraction and Analysis of Cells .


Last update:Nov 18, 2017 at 20:56:18