Matches in SemOpenAlex for { <https://semopenalex.org/work/W2991569435> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W2991569435 endingPage "388" @default.
- W2991569435 startingPage "385" @default.
- W2991569435 abstract "Precision medicine, imaging first. Radiomics, a method of machine learning in artificial intelligence, provides valuable diagnostic, prognostic or predictive information through quantitative analysis on the tumor's region of interest to support personalized clinical decisions and improve individualized treatment, which could lay a solid foundation for achieving the precision medicine. This review provides a latest advance of the radiomic application of the precision medicine for lung cancer.【中文题目:影像组学在肺癌精准诊疗中的研究进展】 【中文摘要:精准医疗,影像先行。影像组学作为人工智能中机器学习的一种方法,通过肿瘤感兴趣区进行定量分析,提供有价值的诊断、预后或预测信息,以支持个性化的临床决策和改善个体化的治疗选择,为实现精准医疗的目标打下了坚实基础。本文将综述影像组学在肺癌精准诊断和治疗的最新研究进展。】 【中文关键词:肺肿瘤;影像组学;精准医疗】." @default.
- W2991569435 created "2019-12-05" @default.
- W2991569435 creator A5013676552 @default.
- W2991569435 creator A5022091234 @default.
- W2991569435 creator A5026202331 @default.
- W2991569435 date "2019-06-20" @default.
- W2991569435 modified "2023-09-26" @default.
- W2991569435 title "[Study Progress of Radiomics in Precision Medicine for Lung Cancer]." @default.
- W2991569435 cites W2174661749 @default.
- W2991569435 cites W2191186679 @default.
- W2991569435 cites W2273987517 @default.
- W2991569435 cites W2313422996 @default.
- W2991569435 cites W2346343836 @default.
- W2991569435 cites W2409456704 @default.
- W2991569435 cites W2470491115 @default.
- W2991569435 cites W2512135406 @default.
- W2991569435 cites W2523312410 @default.
- W2991569435 cites W2533326786 @default.
- W2991569435 cites W2570796584 @default.
- W2991569435 cites W2599895745 @default.
- W2991569435 cites W2616814208 @default.
- W2991569435 cites W2620325446 @default.
- W2991569435 cites W2757722543 @default.
- W2991569435 cites W2763355946 @default.
- W2991569435 cites W2764060064 @default.
- W2991569435 cites W2788673917 @default.
- W2991569435 cites W2790092584 @default.
- W2991569435 cites W2897613275 @default.
- W2991569435 doi "https://doi.org/10.3779/j.issn.1009-3419.2019.06.09" @default.
- W2991569435 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6580079" @default.
- W2991569435 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31196373" @default.
- W2991569435 hasPublicationYear "2019" @default.
- W2991569435 type Work @default.
- W2991569435 sameAs 2991569435 @default.
- W2991569435 citedByCount "0" @default.
- W2991569435 crossrefType "journal-article" @default.
- W2991569435 hasAuthorship W2991569435A5013676552 @default.
- W2991569435 hasAuthorship W2991569435A5022091234 @default.
- W2991569435 hasAuthorship W2991569435A5026202331 @default.
- W2991569435 hasConcept C126838900 @default.
- W2991569435 hasConcept C142724271 @default.
- W2991569435 hasConcept C143998085 @default.
- W2991569435 hasConcept C154945302 @default.
- W2991569435 hasConcept C163763905 @default.
- W2991569435 hasConcept C19527891 @default.
- W2991569435 hasConcept C2776256026 @default.
- W2991569435 hasConcept C2778559731 @default.
- W2991569435 hasConcept C32220436 @default.
- W2991569435 hasConcept C41008148 @default.
- W2991569435 hasConcept C60644358 @default.
- W2991569435 hasConcept C71924100 @default.
- W2991569435 hasConcept C86803240 @default.
- W2991569435 hasConceptScore W2991569435C126838900 @default.
- W2991569435 hasConceptScore W2991569435C142724271 @default.
- W2991569435 hasConceptScore W2991569435C143998085 @default.
- W2991569435 hasConceptScore W2991569435C154945302 @default.
- W2991569435 hasConceptScore W2991569435C163763905 @default.
- W2991569435 hasConceptScore W2991569435C19527891 @default.
- W2991569435 hasConceptScore W2991569435C2776256026 @default.
- W2991569435 hasConceptScore W2991569435C2778559731 @default.
- W2991569435 hasConceptScore W2991569435C32220436 @default.
- W2991569435 hasConceptScore W2991569435C41008148 @default.
- W2991569435 hasConceptScore W2991569435C60644358 @default.
- W2991569435 hasConceptScore W2991569435C71924100 @default.
- W2991569435 hasConceptScore W2991569435C86803240 @default.
- W2991569435 hasIssue "6" @default.
- W2991569435 hasLocation W29915694351 @default.
- W2991569435 hasLocation W29915694352 @default.
- W2991569435 hasOpenAccess W2991569435 @default.
- W2991569435 hasPrimaryLocation W29915694351 @default.
- W2991569435 hasRelatedWork W2024404371 @default.
- W2991569435 hasRelatedWork W2462828735 @default.
- W2991569435 hasRelatedWork W2508972003 @default.
- W2991569435 hasRelatedWork W2810405935 @default.
- W2991569435 hasRelatedWork W2981538714 @default.
- W2991569435 hasRelatedWork W2991569435 @default.
- W2991569435 hasRelatedWork W3032888423 @default.
- W2991569435 hasRelatedWork W3033756711 @default.
- W2991569435 hasRelatedWork W3159116298 @default.
- W2991569435 hasRelatedWork W4280603043 @default.
- W2991569435 hasVolume "22" @default.
- W2991569435 isParatext "false" @default.
- W2991569435 isRetracted "false" @default.
- W2991569435 magId "2991569435" @default.
- W2991569435 workType "article" @default.