Prediction of Lymph Node Metastasis in Colorectal Cancer Using Intraoperative Fluorescence Multi-Modal Imaging

Authors: Zhu, X., Sun, H., Wang, Y., Hu, G., Shao, L., Zhang, S., Liu, F., Chi, C., He, K., Tang, J., An, Y., Tian, J., Liu, Z.

Source: IEEE Transactions on Medical Imaging IEEE Trans. Med. Imaging Medical Imaging, IEEE Transactions on. 44(3):1568-1580 Mar, 2025

Enhancing Thyroid Nodule Assessment With UTV-ST Swin Kansformer: A Multimodal Approach to Predict Invasiveness

Authors: Zhao, Y., Li, Y., Zhang, Y., Yan, X., Yin, G., Liu, L.

Source: IEEE Access Access, IEEE. 13:29081-29090 2025

Multi-Task Adaptive Resolution Network for Lymph Node Metastasis Diagnosis From Whole Slide Images of Colorectal Cancer

Authors: Wang, T., Shin, S., Wang, M., Xu, Q., Jiang, G., Cong, F., Kang, J., Xu, H.

Source: IEEE Journal of Biomedical and Health Informatics IEEE J. Biomed. Health Inform. Biomedical and Health Informatics, IEEE Journal of. 29(1):420-432 Jan, 2025

Estimation of Lymph Node Metastasis in Cervical Cancer Using Deep Learning

Authors: Kori, Ryunosuke, Morita, Kento, Yoshida, Kenta, Kondo, Eiji, Wakabayashi, Tetushi

Source: 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS) Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS), 2024 Joint 13th International Conference on. :1-5 Nov, 2024

Relation: 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS)

A Prediction Model of Cervical Lymph Node Metastasis in Thyroid Cancer Was Constructed Based on Xgboost Artificial Intelligence Combined With Ct

Authors: Yu, Bo, Xu, Ning, Fan, Weiye, Yao, Jiaxing, Zheng, Shijia, Sun, Xiyuan

Source: 2024 3rd International Conference for Advancement in Technology (ICONAT) Advancement in Technology (ICONAT), 2024 3rd International Conference for. :1-5 Sep, 2024

Relation: 2024 3rd International Conference for Advancement in Technology (ICONAT)

Predicting Lymph Node Metastasis of Lung Cancer: A Two-stage Multimodal Data Fusion Approach

Authors: Hu, Danqing, Liu, Bing, Zhu, Xiaofeng, Lu, Xudong, Wu, Nan

Source: 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Engineering in Medicine and Biology Society (EMBC), 2024 46th Annual International Conference of the IEEE. :1-4 Jul, 2024

Relation: 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Dual stream mask attention network to predict the LN metastasis for gastric cancer

Authors: Chen, Zhongtao, Tian, Mengxin, Tang, Zhaoqing, Wang, Xuefei, Yu, Jinhua

Source: 2024 7th International Conference on Computer Information Science and Application Technology (CISAT) Computer Information Science and Application Technology (CISAT), 2024 7th International Conference on. :1338-1342 Jul, 2024

Relation: 2024 7th International Conference on Computer Information Science and Application Technology (CISAT)

Machine Learning Based Techniques for the Prediction of Axillary Lymph Node Metastases in Early Breast Cancer

Authors: Ali, Maisam, Yaseen, Muhammad, Ali, Sikandar, Kim, Hee-Cheol

Source: 2024 26th International Conference on Advanced Communications Technology (ICACT) Advanced Communications Technology (ICACT), 2024 26th International Conference on. :1-5 Feb, 2024

Relation: 2024 26th International Conference on Advanced Communications Technology (ICACT)

Deep Learning Technique for Predicting Axillary Lymph Node Metastasis in Breast Cancer

Authors: Qiao, Haonan, Zhou, Wang, Qiu, Laixiang, Yang, Yujun

Source: 2023 20th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2023 20th International Computer Conference on. :1-4 Dec, 2023

Relation: 2023 20th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)

Predicting Lymph Node Metastasis of Colorectal Cancer in CT Scans Using Attention-Based Multiple Instance Learning

Authors: Xie, Min, Zhang, Yi, Li, Xinyang, Mao, Yiji, Zou, Xingyu, Zhang, Haixian

Source: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2023 IEEE International Conference on. :2695-2701 Dec, 2023

Relation: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

FD-Net: Feature Distillation Network for Oral Squamous Cell Carcinoma Lymph Node Segmentation in Hyperspectral Imagery

Authors: Zhang, X., Li, Q., Li, W., Guo, Y., Zhang, J., Guo, C., Chang, K., Lovell, N.H.

Source: IEEE Journal of Biomedical and Health Informatics IEEE J. Biomed. Health Inform. Biomedical and Health Informatics, IEEE Journal of. 28(3):1552-1563 Mar, 2024

Predictive risk-scoring model for lateral lymph node metastasis in papillary thyroid carcinoma

Authors: Yehao Guo, Yunye Liu, Weidong Teng, Yan Pan, Lizhuo Zhang, Dongdong Feng, Jiajun Wu, Wenli Ma, Jiafeng Wang, Jiajie Xu, Chuanming Zheng, Xuhang Zhu, Zhuo Tan, Liehao Jiang

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-10 (2025)

Subject Terms: Papillary thyroid carcinoma, Lateral lymph node metastasis, Risk-scoring model, Central lymph node metastasis, Prognostic factors, Disease-free survival, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/8edd1a83785049239e7d40f1826dded1

Multi-level granularity adversarial contrast learning for prediction of axillary lymph node metastasis in breast cancer

Authors: Wang, Kesong, Xi, Xiaoming, Wang, Meixia, Yuan, Chuanqi, Xu, Longsheng, Liu, Xinfeng

Source: 2023 IEEE Smart World Congress (SWC) Smart World Congress (SWC), 2023 IEEE. :1-7 Aug, 2023

Relation: 2023 IEEE Smart World Congress (SWC)

Habitat radiomics predicts occult lymph node metastasis and uncovers immune microenvironment of head and neck cancer

Authors: Xinwei Chen, Huan Jiang, Min Pan, Chengmin Feng, Yanshi Li, Lin Chen, Yuxi Luo, Long Liu, Juan Peng, Guohua Hu

Source: Journal of Translational Medicine, Vol 23, Iss 1, Pp 1-17 (2025)

Subject Terms: Head and neck squamous cell carcinoma, Radiogenomics, Habitat radiomics, Occult lymph node metastasis, Immune microenvironment, Medicine

File Description: electronic resource

Relation: https://doaj.org/toc/1479-5876

Access URL: https://doaj.org/article/bdb9dcf9a2874d869e114c8eb5896f68

Analysis of the Predictive Efficacy and Influencing Factors of Serum Tie-1, FoxO3a, and PKD1 for Lymph Node Metastasis in Cervical Cancer

Authors: Wang W, Zhang Y

Source: International Journal of Women's Health, Vol Volume 17, Iss Issue 1, Pp 1215-1224 (2025)

Subject Terms: cervical cancer, lymph node metastasis, Tie-1, FoxO3a, PKD1, predictive efficacy, Gynecology and obstetrics, RG1-991

File Description: electronic resource

Relation: https://www.dovepress.com/analysis-of-the-predictive-efficacy-and-influencing-factors-of-serum-t-peer-reviewed-fulltext-article-IJWH; https://doaj.org/toc/1179-1411

Access URL: https://doaj.org/article/6585bc6a5c7746c795750cf6b7398cae

Correlation between EpCAM expression and cervical lymph node metastasis in papillary thyroid carcinoma: a study integrating ultrasonographic features

Authors: Xia Zhang, Jie Li, Ming Gao, Yan Zhang

Source: BMC Cancer, Vol 25, Iss 1, Pp 1-8 (2025)

Subject Terms: Ultrasonography, Papillary thyroid carcinoma, Extrathyroidal extension, Cervical lymph node metastasis, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

File Description: electronic resource

Relation: https://doaj.org/toc/1471-2407

Access URL: https://doaj.org/article/e42abc14a54745698d0d676155c34811

Development and validation of machine learning models for predicting no. 253 lymph node metastasis in left-sided colorectal cancer using clinical and CT-based radiomic features

Authors: Hongwei Zhang, Kexin Wang, Shurong Liu, Guowei Chen, Yong Jiang, Yingchao Wu, Xiaocong Pang, Xiaoying Wang, Junling Zhang, Xin Wang

Source: Cancer Imaging, Vol 25, Iss 1, Pp 1-11 (2025)

Subject Terms: Colorectal cancer, Lymph node metastasis, Radiomics, Machine learning, Prediction model, Medical physics. Medical radiology. Nuclear medicine, R895-920, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

File Description: electronic resource

Relation: https://doaj.org/toc/1470-7330

Access URL: https://doaj.org/article/f1f93061a2724c87a3dad535da6d8f2a

A comparative analysis of three graph neural network models for predicting axillary lymph node metastasis in early-stage breast cancer

Authors: Enock Adjei Agyekum, Wentao Kong, Yong-zhen Ren, Eliasu Issaka, Josephine Baffoe, Wang Xian, Gongxun Tan, Chunjing Xiong, Zhangye Wang, Xiaoqin Qian, Xiangjun Shen

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-14 (2025)

Subject Terms: Axillary lymph node metastasis, Breast cancer, Graph neural network, Graph convolutional network, Graph attention network, Graph isomorphism network., Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/f8f84f891a584fbfbfbe215874720192

Evaluation of LNR and modified N stage systems for prognostic stratification of metastatic lymph nodes in stage III colorectal Cancer

Authors: Zhao-Fu Qin, Xin-Yi Gao, Yan-Zhi Zhu, Ting Ma, Guan-Liang Chen, De-Ning Ma, Hong-Zhou Zhu, Long-Hai Feng

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-10 (2025)

Subject Terms: Colorectal cancer, Lymph node metastasis, Lymph node ratio, Log odds of positive lymph nodes, Prognosis, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/386905b22ff0489d9fe638ee35215d29

Preoperative lymph node metastasis risk assessment in invasive micropapillary carcinoma of the breast: development of a machine learning-based predictive model with a web-based calculator

Authors: Yan Zhang, Nan Wang, Yuxin Qiu, Yingxiao Jiang, Peiyan Qin, Xiaoxiao Wang, Yang Li, Xiangdi Meng, Furong Hao

Source: World Journal of Surgical Oncology, Vol 23, Iss 1, Pp 1-11 (2025)

Subject Terms: Invasive micropapillary carcinoma, Breast cancer, Lymph node metastasis, Machine learning, Prediction model, Nomogram, Surgery, RD1-811, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

File Description: electronic resource

Relation: https://doaj.org/toc/1477-7819

Access URL: https://doaj.org/article/ea4c10ef532b421083e2588c2e5b0cee