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Volumn 19, Issue 9-10, 2001, Pages 679-690

Bone tumor segmentation from MR perfusion images with neural networks using multi-scale pharmacokinetic features

Author keywords

Bagging; Bone tumor; Cascade; Classification; Classifier combination; Multi scale image analysis; Perfusion; Pharmacokinetic modeling

Indexed keywords

BONE; FEATURE EXTRACTION; FEEDFORWARD NEURAL NETWORKS; IMAGE ANALYSIS; IMAGE QUALITY; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; PHARMACOKINETICS; TUMORS;

EID: 0035419995     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0262-8856(01)00044-0     Document Type: Article
Times cited : (18)

References (29)
  • 12
    • 0024866495 scopus 로고
    • On the approximate realization of continuous mappings by neural networks
    • (1989) Neural Netw. , vol.2 , Issue.3 , pp. 183-192
    • Funahashi, K.-I.1
  • 27
    • 0027205884 scopus 로고
    • A scaled conjugate gradient algorithm for fast supervised learning
    • (1993) Neural Netw. , vol.6 , pp. 525-533
    • Moller, M.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.