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PUBMED FOR HANDHELDS

Journal Abstract Search


175 related items for PubMed ID: 11513023

  • 1. Computer-assisted bone age assessment: image preprocessing and epiphyseal/metaphyseal ROI extraction.
    Pietka E, Gertych A, Pospiech S, Cao F, Huang HK, Gilsanz V.
    IEEE Trans Med Imaging; 2001 Aug; 20(8):715-29. PubMed ID: 11513023
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  • 2. Computer automated approach to the extraction of epiphyseal regions in hand radiographs.
    Pietka BE, Pośpiech S, Gertych A, Cao F, Huang HK, Gilsanz V.
    J Digit Imaging; 2001 Dec; 14(4):165-72. PubMed ID: 11894888
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  • 4. Computer-assisted bone age assessment based on features automatically extracted from a hand radiograph.
    Pietka E.
    Comput Med Imaging Graph; 1995 Dec; 19(3):251-9. PubMed ID: 7641169
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  • 6. Segmenting radiographs of the hand and wrist.
    Manos GK, Cairns AY, Rickets IW, Sinclair D.
    Comput Methods Programs Biomed; 1994 Jun; 43(3-4):227-37. PubMed ID: 7956164
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  • 7. Automatic bone age assessment based on intelligent algorithms and comparison with TW3 method.
    Liu J, Qi J, Liu Z, Ning Q, Luo X.
    Comput Med Imaging Graph; 2008 Dec; 32(8):678-84. PubMed ID: 18835130
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  • 9. Epiphysis and metaphysis extraction and classification by adaptive thresholding and DoG filtering for automated skeletal bone age analysis.
    Giordano D, Leonardi R, Maiorana F, Scarciofalo G, Spampinato C.
    Annu Int Conf IEEE Eng Med Biol Soc; 2007 Dec; 2007():6552-7. PubMed ID: 18003527
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  • 12. Skeletal development of Finnish children in the light of hand-wrist roentgenograms.
    Haavikko K, Kilpinen E.
    Proc Finn Dent Soc; 1973 Oct; 69(5):182-90. PubMed ID: 4357402
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  • 14. Digital hand atlas and web-based bone age assessment: system design and implementation.
    Cao F, Huang HK, Pietka E, Gilsanz V.
    Comput Med Imaging Graph; 2000 Oct; 24(5):297-307. PubMed ID: 10940607
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  • 15. Feature description with SIFT, SURF, BRIEF, BRISK, or FREAK? A general question answered for bone age assessment.
    Kashif M, Deserno TM, Haak D, Jonas S.
    Comput Biol Med; 2016 Jan 01; 68():67-75. PubMed ID: 26623943
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  • 17. Skeletal bone age assessments for young children based on regression convolutional neural networks.
    Hao PY, Chokuwa S, Xie XH, Wu FL, Wu J, Bai C.
    Math Biosci Eng; 2019 Jul 12; 16(6):6454-6466. PubMed ID: 31698572
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  • 18. Automatic bone age assessment for young children from newborn to 7-year-old using carpal bones.
    Zhang A, Gertych A, Liu BJ.
    Comput Med Imaging Graph; 2007 Jul 12; 31(4-5):299-310. PubMed ID: 17369018
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  • 19. A new formula for assessing skeletal age in growing infants and children by measuring carpals and epiphyses of radio and ulna.
    De Luca S, Mangiulli T, Merelli V, Conforti F, Velandia Palacio LA, Agostini S, Spinas E, Cameriere R.
    J Forensic Leg Med; 2016 Apr 12; 39():109-16. PubMed ID: 26874435
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  • 20. Evaluation of a Computer-Aided Diagnosis System for Automated Bone Age Assessment in Comparison to the Greulich-Pyle Atlas Method: A Multireader Study.
    Booz C, Wichmann JL, Boettger S, Al Kamali A, Martin SS, Lenga L, Leithner D, Albrecht MH, Ackermann H, Vogl TJ, Bodelle B, Kaltenbach B.
    J Comput Assist Tomogr; 2019 Apr 12; 43(1):39-45. PubMed ID: 30119064
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