Unsupervised Clustering of Quantitative Imaging Phenotypes Using Autoencoder and Gaussian Mixture Model
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-32251-9_63
Reference13 articles.
1. Aerts, H.J., et al.: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat. Commun. 5 (2014). https://doi.org/10.1038/ncomms5006
2. Cheung, H.M., et al.: Late gadolinium enhancement of colorectal liver metastases post-chemotherapy is associated with tumour fibrosis and overall survival post-hepatectomy. Eur. Radiol. 28(8), 1–8 (2018)
3. Figueiredo, M.A.T., Jain, A.K.: Unsupervised learning of finite mixture models. IEEE Trans. Pattern Anal. Mach. Intell. 3, 381–396 (2002)
4. Fong, Y., Fortner, J., Sun, R.L., Brennan, M.F., Blumgart, L.H.: Clinical score for predicting recurrence after hepatic resection for metastatic colorectal cancer: analysis of 1001 consecutive cases. Ann. Surg. 230(3), 309 (1999)
5. Ha, S., Park, S., Bang, J.I., Kim, E.K., Lee, H.Y.: Metabolic radiomics for pretreatment 18 F-FDG PET/CT to characterize locally advanced breast cancer: histopathologic characteristics, response to neoadjuvant chemotherapy, and prognosis. Sci. Rep. 7(1), 1556 (2017)
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Multi-objective Bayesian optimization with enhanced features for adaptively improved glioblastoma partitioning and survival prediction;Computerized Medical Imaging and Graphics;2024-09
2. A New Automated Prognostic Prediction Method Based on Multi-Sequence Magnetic Resonance Imaging for Hepatic Resection of Colorectal Cancer Liver Metastases;IEEE Journal of Biomedical and Health Informatics;2024-03
3. Gaussian mixture model with local consistency: a hierarchical minimum message length-based approach;International Journal of Machine Learning and Cybernetics;2023-08-03
4. Curriculum gDRO: Improving Lung Malignancy Classification through Robust Curriculum Task Learning;2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS);2023-06
5. Introducing AI to the molecular tumor board: one direction toward the establishment of precision medicine using large-scale cancer clinical and biological information;Experimental Hematology & Oncology;2022-10-31
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3