Combining texture features of whole slide images improves prognostic prediction of recurrence-free survival for cutaneous melanoma patients
Author:
Funder
Shenzhen Science and Technology Project
Publisher
Springer Science and Business Media LLC
Subject
Oncology,Surgery
Link
http://link.springer.com/content/pdf/10.1186/s12957-020-01909-5.pdf
Reference23 articles.
1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394–424.
2. Ali Z, Yousaf N, Larkin J. Melanoma epidemiology, biology and prognosis. EJC Suppl. 2013;11(2):81–91.
3. Chang AE, Karnell LH, Menck HR. The National Cancer Data Base report on cutaneous and noncutaneous melanoma: a summary of 84,836 cases from the past decade. The American College of Surgeons Commission on Cancer and the American Cancer Society. Cancer. 1998;83(8):1664–78.
4. Dickson PV, Gershenwald JE. Staging and prognosis of cutaneous melanoma. Surg Oncol Clin N Am. 2011;20(1):1–17.
5. Hyams DM, Cook RW, Buzaid AC. Identification of risk in cutaneous melanoma patients: prognostic and predictive markers. J Surg Oncol. 2019;119(2):175–86.
Cited by 10 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. From Pixels to Prognosis: A Survey on AI-Driven Cancer Patient Survival Prediction Using Digital Histology Images;Journal of Imaging Informatics in Medicine;2024-03-01
2. Singular Value Decomposition-Driven Non-negative Matrix Factorization with Application to Identify the Association Patterns of Sarcoma Recurrence;Interdisciplinary Sciences: Computational Life Sciences;2024-03-01
3. Recurrence risk stratification of hepatocellular carcinomas based on immune gene expression and features extracted from pathological images;PLOS Computational Biology;2023-12-29
4. Predicting melanoma survival and metastasis with interpretable histopathological features and machine learning models;Frontiers in Medicine;2023-01-06
5. A deep learning model based on whole slide images to predict disease-free survival in cutaneous melanoma patients;Scientific Reports;2022-11-27
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