지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.3
- 수록면
- 110 - 116 (7page)
- DOI
- 10.4283/JMAG.2020.25.1.110
이용수
초록· 키워드
오류제보하기
Radiomics is a field for quantitative image assessment and research using a variety of sophisticated and complex algorithms by extracting a significant and numerous amount of specific functional elements (called texture feature) from medical images. It is mainly used in oncology and can provide a variety of capabilities in a noninvasive way, such as explaining the tumor phenotype, monitoring the response to treatment, comparing with normal tissue, diagnosing the prognosis of the patient and predicting survival. In this study, we will introduce of the workflow of radiomics and discuss the types of texture features, application of clinical cases, and the prospects of radiomics.
목차
1. Introduction
2. Material and Methods
3. Types of Radiomics Feature
4. Application of Clinical Case of Radiomics in Oncology
5. Conclusion and Future Aspects
References
참고문헌 (34)
참고문헌 신청
이지원 / 2018 / CT Radiomics in Thoracic Oncology: Technique and Clinical Applications / Nuclear Medicine and Molecular Imaging 52(2):91~98
C. Christina / 2012 / Nature 486:7403
Cancer Genome Atlas Research Network / 2014 / Nature 511:7511
Cancer Genome Atlas Research Network / 2012 / Nature 489:7417
H. Hedvig / 2011 / Radiology 259:3
C. Christina / 2012 / Nature 486:7403
Cancer Genome Atlas Research Network / 2014 / Nature 511:7511
Cancer Genome Atlas Research Network / 2012 / Nature 489:7417
H. Hedvig / 2011 / Radiology 259:3
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UCI(KEPA) : I410-ECN-0101-2020-428-000509846