Savelonas, M.A.[Michalis A.],
Iakovidis, D.K.[Dimitris K.],
Maroulis, D.E.[Dimitris E.],
LBP-guided active contours,
PRL(29), No. 9, 1 July 2008, pp. 1404-1415.
Elsevier DOI
0711
BibRef
Earlier:
Bimodal Texture Segmentation with the Lee-Seo Model,
ICIAR07(246-253).
Springer DOI
0708
BibRef
Earlier:
An LBP-Based Active Contour Algorithm for Unsupervised Texture
Segmentation,
ICPR06(II: 279-282).
IEEE DOI
0609
LBP: Local binary patterns; Texture segmentation; Active contours
BibRef
Mylona, E.A.,
Savelonas, M.A.,
Maroulis, D.E.,
Self-adjusted active contours using multi-directional texture cues,
ICIP13(3026-3030)
IEEE DOI
1402
Active Contours
BibRef
Keramidas, E.G.[Eystratios G.],
Iakovidis, D.K.[Dimitris K.],
Maroulis, D.E.[Dimitris E.],
Karkanis, S.A.[Stavros A.],
Efficient and Effective Ultrasound Image Analysis Scheme for Thyroid
Nodule Detection,
ICIAR07(1052-1060).
Springer DOI
0708
BibRef
Savelonas, M.A.[Michalis A.],
Iakovidis, D.K.[Dimitris K.],
Maroulis, D.E.[Dimitris E.],
Karkanis, S.A.[Stavros A.],
An Active Contour Model Guided by LBP Distributions,
ACIVS06(197-207).
Springer DOI
0609
BibRef
And: A2, A1, A4, A3:
Segmentation of Medical Images with Regional Inhomogeneities,
ICPR06(III: 976-979).
IEEE DOI
0609
BibRef
Savelonas, M.A.[Michalis A.],
Maroulis, D.E.[Dimitris E.],
Iakovidis, D.K.[Dimitris K.],
Karkanis, S.A.[Stavros A.],
Dimitropoulos, N.,
A Variable Background Active Contour Model for Automatic Detection of
Thyroid Nodules in Ultrasound Images,
ICIP05(I: 17-20).
IEEE DOI
0512
BibRef
Kollorz, E.N.K.,
Hahn, D.A.,
Linke, R.,
Goecke, T.W.,
Hornegger, J.,
Kuwert, T.,
Quantification of Thyroid Volume Using 3-D Ultrasound Imaging,
MedImg(27), No. 4, April 2008, pp. 457-466.
IEEE DOI
0804
BibRef
Kowalski, J.[Jeanne],
Talbot, Jr., C.[Conover],
Tsai, H.L.[Hua L.],
Prasad, N.[Nijaguna],
Umbricht, C.[Christopher],
Zeiger, M.A.[Martha A.],
From ambiguities to insights in cancer diagnosis via query-based
comparisons,
PR(42), No. 4, April 2009, pp. 575-580.
Elsevier DOI
0812
Gene expression; Query; Thyroid cancer
BibRef
Chang, C.Y.[Chuan-Yu],
Chen, S.J.[Shao-Jer],
Tsai, M.F.[Ming-Fong],
Application of support-vector-machine-based method for feature
selection and classification of thyroid nodules in ultrasound images,
PR(43), No. 10, October 2010, pp. 3494-3506.
Elsevier DOI
1007
Support vector machines; Feature selection; Thyroid nodule classification
BibRef
Babu, J.J.J.[J. Jai Jaganath],
Sudha, G.F.,
Non-subsampled contourlet transform based image Denoising in
ultrasound thyroid images using adaptive binary morphological
operations,
IET-CV(8), No. 6, 2014, pp. 718-728.
DOI Link
1502
biomedical ultrasonics
BibRef
Song, P.F.[Peng-Fei],
Zhao, H.,
Manduca, A.,
Urban, M.W.,
Greenleaf, J.F.,
Chen, S.G.[Shi-Gao],
Comb-Push Ultrasound Shear Elastography (CUSE): A Novel Method for
Two-Dimensional Shear Elasticity Imaging of Soft Tissues,
MedImg(31), No. 9, September 2012, pp. 1821-1832.
IEEE DOI
1209
BibRef
Song, P.F.[Peng-Fei],
Urban, M.W.,
Manduca, A.,
Zhao, H.,
Greenleaf, J.F.,
Chen, S.G.[Shi-Gao],
Comb-Push Ultrasound Shear Elastography (CUSE) With Various
Ultrasound Push Beams,
MedImg(32), No. 8, 2013, pp. 1435-1447.
IEEE DOI
1307
Acoustic radiation force
BibRef
Mellema, D.C.[Daniel C.],
Song, P.F.[Peng-Fei],
Kinnick, R.R.[Randall R.],
Urban, M.W.[Matthew W.],
Greenleaf, J.F.[James F.],
Manduca, A.[Armando],
Chen, S.G.[Shi-Gao],
Probe Oscillation Shear Elastography (PROSE): A High Frame-Rate
Method for Two-Dimensional Ultrasound Shear Wave Elastography,
MedImg(35), No. 9, September 2016, pp. 2098-2106.
IEEE DOI
1609
Biological tissues
BibRef
Mehrmohammadi, M.,
Song, P.F.[Peng-Fei],
Meixner, D.D.,
Fazzio, R.T.,
Chen, S.G.[Shi-Gao],
Greenleaf, J.F.,
Fatemi, M.,
Alizad, A.,
Comb-Push Ultrasound Shear Elastography (CUSE) for Evaluation of
Thyroid Nodules: Preliminary In Vivo Results,
MedImg(34), No. 1, January 2015, pp. 97-106.
IEEE DOI
1502
Young's modulus
BibRef
Koundal, D.,
Gupta, S.,
Singh, S.,
Speckle reduction method for thyroid ultrasound images in
neutrosophic domain,
IET-IPR(10), No. 2, 2016, pp. 167-175.
DOI Link
1602
biomedical ultrasonics
BibRef
Moussa, O.[Olfa],
Khachnaoui, H.[Hajer],
Guetari, R.[Ramzi],
Khlifa, N.[Nawres],
Thyroid nodules classification and diagnosis in ultrasound images
using fine-tuning deep convolutional neural network,
IJIST(30), No. 1, 2020, pp. 185-195.
DOI Link
2002
computer-aided diagnosis (CAD) system,
deep convolutional neural network, deep learning, fine-tuning,
ultrasound image
BibRef
Mugasa, H.[Hatwib],
Dua, S.[Sumeet],
Koh, J.E.W.[Joel E.W.],
Hagiwara, Y.[Yuki],
Lih, O.S.[Oh Shu],
Madla, C.[Chakri],
Kongmebhol, P.[Pailin],
Ng, K.H.[Kwan Hoong],
Acharya, U.R.[U. Rajendra],
An adaptive feature extraction model for classification of thyroid
lesions in ultrasound images,
PRL(131), 2020, pp. 463-473.
Elsevier DOI
2004
Feature extraction, Image filtering,
Benign and malignant thyroid lesion, Image texture feature, Ultrasound
BibRef
Bao, G.,
Zheng, C.,
Li, P.,
Cui, H.,
Wang, X.,
Song, S.,
Huang, G.,
Feng, D.,
3D Segmentation of Residual Thyroid Tissue Using Constrained Region
Growing and Voting Strategies,
DICTA17(1-5)
IEEE DOI
1804
biological tissues, cancer, computerised tomography,
image segmentation, medical image processing, 3d segmentation,
Three-dimensional displays
BibRef
Halder, A.K.[Anup Kumar],
Dutta, P.[Pritha],
Kundu, M.[Mahantapas],
Nasipuri, M.[Mita],
Basu, S.[Subhadip],
Prediction of Thyroid Cancer Genes Using an Ensemble of Post
Translational Modification, Semantic and Structural Similarity Based
Clustering Results,
PReMI17(418-423).
Springer DOI
1711
BibRef
Dornheim, J.[Jana],
Dornheim, L.[Lars],
Preim, B.[Bernhard],
Hertel, I.[Ilka],
Strauss, G.[Gero],
Generation and Initialization of Stable 3D Mass-Spring Models for the
Segmentation of the Thyroid Cartilage,
DAGM06(162-171).
Springer DOI
0610
BibRef
Ablameyko, S.V.,
Kirillov, V.,
Lagunovsky, D.,
Patsko, O.,
Paramonova, N.,
Petrou, M.,
Tchij, O.,
From cell image segmentation to differential diagnosis of thyroid
cancer,
ICPR02(I: 763-766).
IEEE DOI
0211
BibRef
Leung, C.C.,
Chan, F.H.Y.,
Lam, K.Y.,
Kwok, P.C.K.,
Chen, W.F.,
Thyroid Cancer Cells Boundary Location by a Fuzzy Edge Detection Method,
ICPR00(Vol IV: 360-363).
IEEE DOI
0009
BibRef
Grimm, F.,
Fabregas, X.,
Bunke, H.,
Weiss, S.,
Wittwer, R.,
Knowledge-based interpretation of thyroid scintigrams,
WACV94(230-239).
IEEE Abstract.
0403
BibRef
Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Medical Applications -- Lymph Nodes .