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浏览/检索结果: 共14条，第1-10条 帮助 限定条件 专题：合肥物质科学研究院    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study 期刊论文 CANCER, 2022 作者:  Gu, Jionghui;  Tong, Tong;  Xu, Dong;  Cheng, Fang;  Fang, Chengyu 收藏  |  浏览/下载：18/0  |  提交时间：2022/12/23 breast cancer  deep learning  lymph node metastasis  neoadjuvant chemotherapy  pathologic complete response  treatment decision  ultrasonography   Glycosyltransferase-related long non-coding RNA signature predicts the prognosis of colon adenocarcinoma 期刊论文 FRONTIERS IN ONCOLOGY, 2022, 卷号: 12 作者:  Zhang, Jiawei;  Wu, Yinan;  Mu, Jiayi;  Xin, Dijia;  Wang, Luyao 收藏  |  浏览/下载：16/0  |  提交时间：2022/12/22 colorectal cancer  glycosyltransferase  lncRNAs  risk model  overall survival   A Radiomics Nomogram Integrated With Clinic-Radiological Features for Preoperative Prediction of DNA Mismatch Repair Deficiency in Gastric Adenocarcinoma 期刊论文 FRONTIERS IN ONCOLOGY, 2022, 卷号: 12 作者:  Tong, Yahan;  Li, Jiaying;  Chen, Jieyu;  Hu, Can;  Xu, Zhiyuan 收藏  |  浏览/下载：11/0  |  提交时间：2022/12/23 gastric cancer  adenocarcinoma  radiomics  tomography  X-ray computed  nomogram  DNA mismatch repair deficiency   A Novel Risk Model Based on Autophagy-Related LncRNAs Predicts Prognosis and Indicates Immune Infiltration Landscape of Patients With Cutaneous Melanoma 期刊论文 FRONTIERS IN GENETICS, 2022, 卷号: 13 作者:  Shu, Qi;  Zhou, Yi;  Zhu, Zhengjie;  Chen, Xi;  Fang, Qilu 收藏  |  浏览/下载：112/0  |  提交时间：2022/12/23 cutaneous melanoma  autophagy-related lncRNAs  immune infiltration landscape  risk model  prognosis   & nbsp;Prediction of Microvascular Invasion and Its M2 Classification in Hepatocellular Carcinoma Based on Nomogram Analyses (vol 11, 774800, 2022) 期刊论文 FRONTIERS IN ONCOLOGY, 2022, 卷号: 12 作者:  Chen, Shengsen;  Wang, Chao;  Gu, Yuwei;  Ruan, Rongwei;  Yu, Jiangping 收藏  |  浏览/下载：8/0  |  提交时间：2022/12/23 hepatocellular carcinoma  microvascular invasion  M2 classification  prediction model  nomogram   A nomogram model based on peripheral blood lymphocyte subsets to assess the prognosis of non-small cell lung cancer patients treated with immune checkpoint inhibitors 期刊论文 TRANSLATIONAL LUNG CANCER RESEARCH, 2021 作者:  Xu, Xiaoling;  Wang, Ding;  Chen, Wei;  Li, Na;  Suwinski, Rafal 收藏  |  浏览/下载：42/0  |  提交时间：2022/02/14 Immune checkpoint inhibitor (ICI)  non-small cell lung cancer (NSCLC)  peripheral blood lymphocyte subsets   Development, Validation, and Visualization of A Web-Based Nomogram for Predicting the Recurrence-Free Survival Rate of Patients With Desmoid Tumors 期刊论文 FRONTIERS IN ONCOLOGY, 2021, 卷号: 11 作者:  Liu, Haotian;  Huang, Kai;  Li, Tao;  Yang, Tielong;  Liao, Zhichao 收藏  |  浏览/下载：27/0  |  提交时间：2021/04/26 desmoid tumor  recurrence  prediction  the web-based nomogram  tumor number  validation   Construction of an RNA-Binding Protein-Related Prognostic Model for Pancreatic Adenocarcinoma Based on TCGA and GTEx Databases 期刊论文 FRONTIERS IN GENETICS, 2021, 卷号: 11 作者:  Wen, Xin;  Shao, Zhiying;  Chen, Shuyi;  Wang, Wei;  Wang, Yan 收藏  |  浏览/下载：29/0  |  提交时间：2021/04/26 RNA-binding proteins (RBPs)  pancreatic adenocarcinoma (PAAD)  prognosis  TCGA  GTEx   Prognosis of Oligodendroglioma Patients Stratified by Age: A SEER Population-Based Analysis 期刊论文 INTERNATIONAL JOURNAL OF GENERAL MEDICINE, 2021, 卷号: 14 作者:  Jin, Kai;  Zhang, Shu-Yuan;  Li, Li-Wen;  Zou, Yang-Fan;  Wu, Bin 收藏  |  浏览/下载：15/0  |  提交时间：2022/01/25 oligodendroglioma  SEER  age  prognosis  all-cause mortality  tumor-specific mortality   Machine Learning-Based Radiomics Nomogram Using Magnetic Resonance Images for Prediction of Neoadjuvant Chemotherapy Efficacy in Breast Cancer Patients 期刊论文 FRONTIERS IN ONCOLOGY, 2020, 卷号: 10 作者:  Chen, Shujun;  Shu, Zhenyu;  Li, Yongfeng;  Chen, Bo;  Tang, Lirong 收藏  |  浏览/下载：28/0  |  提交时间：2020/11/26 radiomics  nomogram  breast cancer  neoadjuvant chemotherapy  pathological complete response  machine learning