Literature DB >> 31577173

Fewer Reproducible Radiomic Features Mean Better Reproducibility within the Same Patient.

Jacob Sosna1.   

Abstract

Entities:  

Mesh：

Year:  2019        PMID： 31577173     DOI： 10.1148/radiol.2019191958

Source DB:  PubMed          Journal:  Radiology        ISSN： 0033-8419            Impact factor:   11.105


× No keyword cloud information.
  4 in total

1.  A radiomics-based model on non-contrast CT for predicting cirrhosis: make the most of image data.

Authors:  Jin-Cheng Wang; Rao Fu; Xue-Wen Tao; Ying-Fan Mao; Fei Wang; Ze-Chuan Zhang; Wei-Wei Yu; Jun Chen; Jian He; Bei-Cheng Sun
Journal:  Biomark Res       Date:  2020-09-17

2.  Development of a Radiomics Prediction Model for Histological Type Diagnosis in Solitary Pulmonary Nodules: The Combination of CT and FDG PET.

Authors:  Mengmeng Yan; Weidong Wang
Journal:  Front Oncol       Date:  2020-09-15       Impact factor: 6.244

3.  MRI-Based Radiomics Nomogram: Prediction of Axillary Non-Sentinel Lymph Node Metastasis in Patients With Sentinel Lymph Node-Positive Breast Cancer.

Authors:  Ya Qiu; Xiang Zhang; Zhiyuan Wu; Shiji Wu; Zehong Yang; Dongye Wang; Hongbo Le; Jiaji Mao; Guochao Dai; Xuwei Tian; Renbing Zhou; Jiayi Huang; Lanxin Hu; Jun Shen
Journal:  Front Oncol       Date:  2022-02-28       Impact factor: 6.244

4.  Radiomics Analysis on Noncontrast CT for Distinguishing Hepatic Hemangioma (HH) and Hepatocellular Carcinoma (HCC).

Authors:  Shuyi Hu; Xiajie Lyu; Weifeng Li; Xiaohan Cui; Qiaoyu Liu; Xiaoliang Xu; Jincheng Wang; Lin Chen; Xudong Zhang; Yin Yin
Journal:  Contrast Media Mol Imaging       Date:  2022-06-25       Impact factor: 3.009
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.