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Suehling, M.,
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Comaniciu, D.,
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1202
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1202
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Chang, C.Y.[Chuan-Yu],
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JVCIR(24), No. 1, January 2013, pp. 23-30.
Elsevier DOI
1301
Lymph node; Ultrasound image; Feature selection; Classification;
Support vector machine; Particle swarm optimization; Boltzmann
function; Region of interest (ROI)
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Fuerst, B.,
Sprung, J.,
Pinto, F.,
Frisch, B.,
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1603
Lymph nodes
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Bándi, P.,
Geessink, O.,
Manson, Q.,
van Dijk, M.,
Balkenhol, M.,
Hermsen, M.,
Ehteshami Bejnordi, B.,
Lee, B.,
Paeng, K.,
Zhong, A.,
Li, Q.,
Zanjani, F.G.,
Zinger, S.,
Fukuta, K.,
Komura, D.,
Ovtcharov, V.,
Cheng, S.,
Zeng, S.,
Thagaard, J.,
Dahl, A.B.,
Lin, H.,
Chen, H.,
Jacobsson, L.,
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IEEE DOI
1902
Lymph nodes, Biomedical imaging, Tumors, Metastasis, Pathology,
Hospitals, Breast cancer, sentinel lymph node,
grand challenge
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DOI Link
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convolutional neural network, lymph node detection,
multisource transfer learning, point-wise convolutional operation
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Peng, H.X.[Hai-Xin],
Peng, Y.J.[Yin-Jun],
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IJIST(30), No. 4, 2020, pp. 1220-1242.
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biomedical image classification, false-positive reduction,
mixture density networks, recurrent visual attention
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Zhang, Y.T.[Yong-Tao],
Li, H.[Haimei],
Du, J.[Jie],
Qin, J.[Jing],
Wang, T.F.[Tian-Fu],
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Liu, B.[Bing],
Gao, W.W.[Wen-Wen],
Ma, G.[Guolin],
Lei, B.[Baiying],
3D Multi-Attention Guided Multi-Task Learning Network for Automatic
Gastric Tumor Segmentation and Lymph Node Classification,
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IEEE DOI
2106
Image segmentation, Feature extraction, Tumors, Task analysis,
Computed tomography, Metastasis, CT scans
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Li, Y.[Yang],
Dan, T.T.[Ting-Ting],
Li, H.J.[Hao-Jiang],
Chen, J.Z.[Jia-Zhou],
Peng, H.[Hong],
Liu, L.Z.[Li-Zhi],
Cai, H.M.[Hong-Min],
NPCNet: Jointly Segment Primary Nasopharyngeal Carcinoma Tumors and
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IEEE DOI
2207
Tumors, Magnetic resonance imaging, Image segmentation,
Lymph nodes, Feature extraction, Learning systems, Visualization,
image segmentation
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Wang, Z.H.[Zhi-Hua],
Yu, L.[Lequan],
Ding, X.[Xin],
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Lymph Node Metastasis Prediction From Whole Slide Images With
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IEEE DOI
2210
Transformers, Feature extraction, Lymph nodes, Metastasis,
Image analysis, Thyroid, Task analysis, Whole slide image analysis,
knowledge distillation
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Zhu, Z.H.[Zhong-Hang],
Yu, L.[Lequan],
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Yu, R.S.[Rong-Shan],
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MuRCL: Multi-Instance Reinforcement Contrastive Learning for Whole
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2305
Feature extraction, Training, Task analysis, Semantics,
Reinforcement learning, Computational modeling,
reinforcement learning
BibRef
Farfan Cabrera, D.L.,
Gogin, N.,
Morland, D.,
Naegel, B.,
Papathanassiou, D.,
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Segmentation of Axillary and Supraclavicular Tumoral Lymph Nodes in
PET/CT: A Hybrid CNN/Component-Tree Approach,
ICPR21(6672-6679)
IEEE DOI
2105
Image segmentation, Pathology, Shape,
Computed tomography, Breast cancer, Topology, Segmentation, CNN, U-Net,
lymph nodes
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Zhao, Y.,
Yang, F.,
Fang, Y.,
Liu, H.,
Zhou, N.,
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Sun, J.,
Yang, S.,
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Yao, J.,
Predicting Lymph Node Metastasis Using Histopathological Images Based
on Multiple Instance Learning With Deep Graph Convolution,
CVPR20(4836-4845)
IEEE DOI
2008
Feature extraction, Generative adversarial networks,
Lymph nodes, Metastasis, Task analysis
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Gerard, G.[Gianluca],
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NTIAP19(220-227).
Springer DOI
1909
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Pham, T.D.,
Complementary features for radiomic analysis of malignant and benign
mediastinal lymph nodes,
ICIP17(3849-3853)
IEEE DOI
1803
cancer, cellular biophysics, computerised tomography,
feature extraction, lung, medical image processing, tumours,
texture
BibRef
Villamarín, J.A.[Julian A.],
Montilla, D.A.[Daniela A.],
Potosi, O.M.[Olga M.],
Londoño, L.F.[Luis F.],
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Ultrasonic Backscatter Signal Processing Technique for the
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CIARP17(702-709).
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1802
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ICIAR16(198-205).
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1608
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1109
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1006
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Graph-Based Segmentation of Lymph Nodes in CT Data,
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1011
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Lymphocyte Segmentation Using the Transferable Belief Model,
ICPR-Contests10(253-262).
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1008
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Unal, G.,
Slabaugh, G.G.,
Ess, A.,
Yezzi, A.J.,
Fang, T.,
Tyan, J.,
Requardt, M.,
Krieg, R.,
Seethamraju, R.,
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Semi-Automatic Lymph Node Segmentation in LN-MRI,
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0610
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Murashov, D.,
Method for early diagnostics of lymphatic system tumors on the basis of
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ICPR04(III: 806-809).
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0409
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Gurevich, I.[Igor],
Kharazishvili, D.[Dmitry],
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Information Technology for the Morphological Analysis of the Lymphoid
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SCIA03(541-548).
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0310
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Image Prototype Similarity Matching for Lymph Node Hemopathology,
ICPR00(Vol II: 279-282).
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0009
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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Medical Applications -- Prostate Cancer Analysis .