Advanced researches and future challenges of radiomics

GUO Yi; ZHOU Shichong; YU Jinhua; WANG Yuanyuan; CHANG Cai

您当前的位置：

首页 >

文章列表页 >

Advanced researches and future challenges of radiomics

更新时间：2026-06-18

- Advanced researches and future challenges of radiomics
- Vol. 26, Issue 2, Pages: 81-90(2017)
- 作者机构：
  
  1. 复旦大学电子工程系,上海,200433
  2. 上海市医学图像处理与计算机辅助手术重点实验室,上海,200032
  3. 复旦大学附属肿瘤医院超声科，复旦大学上海医学院肿瘤学系,上海,200032
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：02 June 2017，
  
  Published：02 June 2017
- 稿件说明：
移动端阅览
郭翌,周世崇,余锦华,等. 影像组学的前沿研究与未来挑战[J]. 肿瘤影像学, 2017, 26(2): 81-90
DOI：

郭翌,周世崇,余锦华,等. 影像组学的前沿研究与未来挑战[J]. 肿瘤影像学, 2017, 26(2): 81-90 DOI：

摘要

影像组学指从医学影像中提取、分析大量高级定量影像特征，从而对疾病进行诊疗。这一概念诞生不足5年，但已成为全球临床医学和生物医学工程的研究热点，涉及多类肿瘤的筛查、诊断、治疗和评估，并取得了相当乐观的结果。今后影像组学会基于多中心研究，进一步获取标准、稳定的特征并完成验证，从循证医学角度应用于肿瘤的精准医疗。该研究系统全面地阐述了影像组学的过去、现在与未来。

Abstract

Radiomics refers to the extraction and analysis of a large amounts of advanced quantitative imaging features from medical images

for diagnosis and treatment of diseases. The concept was born less than five years

but has become a research hotspot in global clinical medicine and biomedical engineering. The research of radiomics involves the screening

diagnosis

treatment

and evaluation of several types of tumors

and has achieved considerably optimistic results. Radiomics

which will obtain more standard

stable features and complete validation based on multicenter research

may be applied in precision oncology from evidence-based medicine hereafter. In this paper

a systematic and comprehensive exposition of radiomics in the past

present and future is given.

关键词

Keywords

references

Views

7674

下载量

104

CNKI被引量

Alert me when the article has been cited

提交

Tools

Publicity Resources

Combined ultrasound-based intratumoral and peritumoral radiomics with clinical characteristics predict central lymph node metastasis in papillary thyroid carcinoma patients

The value of automatic segmentation radiomics features in predicting pathological complete response after neoadjuvant therapy for breast cancer

Multimodal ultrasound features combined with serum CEA and CK19 to predict axillary lymph node metastasis of breast cancer

Research progress of ultrasound radiomics based on artificial intelligence in the diagnosis and treatment of breast cancer

The progress of multimodal ultrasound-radiomics in the preoperative diagnosis of breast cancer

Related Author

CAO Caixia

ZHAO Tong

ZHU Lianxin

WANG Zhan

ZHU Qiang

WU Linyong

LI Shaofeng

LI Songhua

Related Institution

Department of Thyroid and Breast Surgery, The First People’s Hospital of Jintan

Department of Ultrasound, The Second People’s Hospital of Changzhou, the Third Affiliated Hospital of Nanjing Medical University

Department of Internal Medicine, Yixing Sixth People's Hospital

Department of Ultrasound, Maoming People's Hospital

Department of Ultrasound, The First Hospital of Qinhuangdao

AI问答

⁰