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Volumn 9414, Issue , 2015, Pages

Automatic detection of spiculation of pulmonary nodules in computed tomography images

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL ORGANS; COMPUTER AIDED DIAGNOSIS; DIAGNOSIS; DISEASES; MEDICAL IMAGING; MORPHOLOGY; TOMOGRAPHY;

EID: 84948798628     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2081426     Document Type: Conference Paper
Times cited : (7)

References (14)
  • 1
    • 84855212147 scopus 로고    scopus 로고
    • American Cancer Society
    • American Cancer Society, Cancer facts and-gures 2014," (2014).
    • (2014) Cancer Facts and Gures
  • 5
    • 0028296907 scopus 로고
    • Computerized characterization of mammographic masses: Analysis of spiculation
    • Giger, M. L., Vyborny, C. J., Schmidt, R. A., Computerized characterization of mammographic masses: analysis of spiculation," Cancer Letters 77, 201-211 (1994).
    • (1994) Cancer Letters , vol.77 , pp. 201-211
    • Giger, M.L.1    Vyborny, C.J.2    Schmidt, R.A.3
  • 11
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman, L., Random forests," Machine Learning 45, 5-32 (2001).
    • (2001) Machine Learning , vol.45 , pp. 5-32
    • Breiman, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.