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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.,
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Maroulis, D.E.,
Self-adjusted active contours using multi-directional texture cues,
ICIP13(3026-3030)
IEEE DOI
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Active Contours
BibRef
Keramidas, E.G.[Eystratios G.],
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IEEE DOI
0609
BibRef
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Iakovidis, D.K.[Dimitris K.],
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1209
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Acoustic radiation force
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1609
Biological tissues
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Comb-Push Ultrasound Shear Elastography (CUSE) for Evaluation of
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1502
Young's modulus
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Speckle reduction method for thyroid ultrasound images in
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biomedical ultrasonics
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2002
computer-aided diagnosis (CAD) system,
deep convolutional neural network, deep learning, fine-tuning,
ultrasound image
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Mugasa, H.[Hatwib],
Dua, S.[Sumeet],
Koh, J.E.W.[Joel E.W.],
Hagiwara, Y.[Yuki],
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Elsevier DOI
2004
Feature extraction, Image filtering,
Benign and malignant thyroid lesion, Image texture feature, Ultrasound
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Deep learning, Histopathology, Transfer learning,
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IEEE DOI
2106
Thyroid, Lesions, Cancer, Ultrasonic imaging, Pathology, Visualization,
Task analysis, Contrast-enhanced ultrasound, hierarchical,
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C, NN, FU-SLnO model, image features, NN, PCA,
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Multimodal Feature Fusion and Knowledge-Driven Learning via Experts
Consult for Thyroid Nodule Classification,
CirSysVideo(32), No. 5, May 2022, pp. 2527-2534.
IEEE DOI
2205
Thyroid, Discrete wavelet transforms, Training, Task analysis,
Neural networks, Medical diagnostic imaging,
transfer learning
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Zhao, S.X.[Shi-Xuan],
Chen, Y.[Yang],
Yang, K.F.[Kai-Fu],
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A Local and Global Feature Disentangled Network: Toward
Classification of Benign-Malignant Thyroid Nodules From Ultrasound
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MedImg(41), No. 6, June 2022, pp. 1497-1509.
IEEE DOI
2206
Feature extraction, Thyroid, Cancer, Ultrasonic imaging,
Task analysis, Deep learning, Radiomics, Ultrasound image,
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Tan, G.H.[Guang-Hua],
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Li, S.L.[Sheng-Li],
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A Novel Deep Learning Framework for Automatic Recognition of Thyroid
Gland and Tissues of Neck in Ultrasound Image,
CirSysVideo(32), No. 9, September 2022, pp. 6113-6124.
IEEE DOI
2209
Thyroid, Ultrasonic imaging, Image segmentation, Neck, Deep learning,
Task analysis, Medical diagnostic imaging, Automatic recognition,
thyroid gland
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Fu, C.[Chao],
Hou, B.B.[Bing-Bing],
Xue, M.[Min],
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Extended Belief Rule-Based System With Accurate Rule Weights and
Efficient Rule Activation for Diagnosis of Thyroid Nodules,
SMCS(53), No. 1, January 2023, pp. 251-263.
IEEE DOI
2301
Weight measurement, Thyroid, Optimization, Inference algorithms,
Size measurement, Hospitals, Explosions, Accurate rule weight,
extended belief-rule-based (EBRB) system
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Li, Z.Z.[Zhi-Zhou],
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Elsevier DOI
2301
Ultrasound images, Thyroid nodule segmentation, Weakly supervised segmentation,
Contour deformation network, Edge attention module
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Ongole, D.[Devanand],
Saravanan, S.,
Colour-based segmentation using FCM and K-means clustering for 3D
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DOI Link
2310
colour based FCM and K-mean clustering, Deep-CNN model, GLCM,
TI-RADS classification
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Liu, Q.[Qiong],
Li, Y.[Yue],
Zhai, Z.X.[Zi-Xin],
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2311
computer-aided diagnosis, image segmentation, thyroid nodule,
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Chen, H.C.[He-Chang],
Pyramid Tokens-to-Token Vision Transformer for Thyroid Pathology
Image Classification,
IPTA22(1-6)
IEEE DOI
2206
Pathology, Computational modeling, Computer architecture,
Feature extraction, Transformers, Convolutional neural networks,
image pyramid
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Qiu, S.[Shuhao],
Guo, Y.[Yao],
Zhu, C.[Chuang],
Zhou, W.L.[Wen-Li],
Chen, H.[Huang],
Attention Based Multi-Instance Thyroid Cytopathological Diagnosis
with Multi-Scale Feature Fusion,
ICPR21(3536-3541)
IEEE DOI
2105
Deep learning, Visualization, Histopathology, Supervised learning,
Feature extraction, Data models, Pattern recognition
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Wang, J.,
Li, S.,
Song, W.,
Qin, H.,
Zhang, B.,
Hao, A.,
Learning from Weakly-Labeled Clinical Data for Automatic Thyroid
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ICIP18(3114-3118)
IEEE DOI
1809
Cancer, Proposals, Image edge detection, Training,
Biomedical imaging, Feature extraction, Ultrasonic imaging,
Automatic nodule classification
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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
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Halder, A.K.[Anup Kumar],
Dutta, P.[Pritha],
Kundu, M.[Mahantapas],
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PReMI17(418-423).
Springer DOI
1711
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Dornheim, J.[Jana],
Dornheim, L.[Lars],
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Hertel, I.[Ilka],
Strauss, G.[Gero],
Generation and Initialization of Stable 3D Mass-Spring Models for the
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DAGM06(162-171).
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0610
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Ablameyko, S.V.,
Kirillov, V.,
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Patsko, O.,
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ICPR02(I: 763-766).
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0211
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Chan, F.H.Y.,
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Thyroid Cancer Cells Boundary Location by a Fuzzy Edge Detection Method,
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0009
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Knowledge-based interpretation of thyroid scintigrams,
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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Medical Applications -- Lymph Nodes .