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Pubmed for Handhelds
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Journal Abstract Search
121 related items for PubMed ID: 17531116
21. Carpals and epiphyses of radius and ulna as age indicators. Cameriere R, Ferrante L, Mirtella D, Cingolani M. Int J Legal Med; 2006 May; 120(3):143-6. PubMed ID: 16211419 [Abstract] [Full Text] [Related]
22. Biological age of southern Chinese boys. Low WD, Fung SH, Cerny EE. Z Morphol Anthropol; 1976 May; 67(2):136-44. PubMed ID: 183403 [No Abstract] [Full Text] [Related]
23. 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 [Abstract] [Full Text] [Related]
24. Bone age assessment in young children using automatic carpal bone feature extraction and support vector regression. Somkantha K, Theera-Umpon N, Auephanwiriyakul S. J Digit Imaging; 2011 Dec 12; 24(6):1044-58. PubMed ID: 21347746 [Abstract] [Full Text] [Related]
25. 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 Dec 12; 31(4-5):299-310. PubMed ID: 17369018 [Abstract] [Full Text] [Related]
27. Application of artificial neural networks for the estimation of tumour characteristics in biological tissues. Hosseini SM, Amiri M, Najarian S, Dargahi J. Int J Med Robot; 2007 Sep 12; 3(3):235-44. PubMed ID: 17577891 [Abstract] [Full Text] [Related]
28. Age estimation in children by measurement of carpals and epiphyses of radius and ulna and open apices in teeth: a pilot study. Cameriere R, Ferrante L. Forensic Sci Int; 2008 Jan 15; 174(1):60-3. PubMed ID: 17478067 [Abstract] [Full Text] [Related]
29. [Reference values of differences between TW3-C RUS and TW3-C Carpal bone ages of children from five cities of China]. Zhang SY, Liu LJ, Han YS, Liu G, Ma ZG, Shen XZ, Xu RL, Hua JQ. Zhonghua Er Ke Za Zhi; 2008 Nov 15; 46(11):851-5. PubMed ID: 19099904 [Abstract] [Full Text] [Related]
31. [TW systems in estimation of carpal bone age and their potential applications in diagnosis of idiopathic precocious puberty in Chinese girls]. Ning G, Qu HB, Liu GJ, Wu KM, Xie SX, Chen XJ. Fa Yi Xue Za Zhi; 2007 Apr 15; 23(2):97-100. PubMed ID: 17619452 [Abstract] [Full Text] [Related]
33. [Carpal model and biomechanics]. Bonnel F, Roussanne Y, Chemouny S, Banegas F. Chir Main; 2007 Jun 15; 26(4-5):180-99. PubMed ID: 17905635 [Abstract] [Full Text] [Related]
34. 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 15; 20(8):715-29. PubMed ID: 11513023 [Abstract] [Full Text] [Related]
35. Carpal Bone Segmentation Using Fully Convolutional Neural Network. Meng LK, Khalil A, Ahmad Nizar MH, Nisham MK, Pingguan-Murphy B, Hum YC, Mohamad Salim MI, Lai KW. Curr Med Imaging Rev; 2019 Aug 15; 15(10):983-989. PubMed ID: 32008525 [Abstract] [Full Text] [Related]
36. Performance of two different artificial intelligence (AI) methods for assessing carpal bone age compared to the standard Greulich and Pyle method. Alaimo D, Terranova MC, Palizzolo E, De Angelis M, Avella V, Paviglianiti G, Lo Re G, Matranga D, Salerno S. Radiol Med; 2024 Oct 15; 129(10):1507-1512. PubMed ID: 39162939 [Abstract] [Full Text] [Related]
37. A digital database of wrist bone anatomy and carpal kinematics. Moore DC, Crisco JJ, Trafton TG, Leventhal EL. J Biomech; 2007 Oct 15; 40(11):2537-42. PubMed ID: 17276439 [Abstract] [Full Text] [Related]
38. Differential diagnosis of CT focal liver lesions using texture features, feature selection and ensemble driven classifiers. Mougiakakou SG, Valavanis IK, Nikita A, Nikita KS. Artif Intell Med; 2007 Sep 15; 41(1):25-37. PubMed ID: 17624744 [Abstract] [Full Text] [Related]
39. Bone age assessment of children using a digital hand atlas. Gertych A, Zhang A, Sayre J, Pospiech-Kurkowska S, Huang HK. Comput Med Imaging Graph; 2007 Sep 15; 31(4-5):322-31. PubMed ID: 17387000 [Abstract] [Full Text] [Related]
40. Radial basis function neural networks classification for the recognition of idiopathic pulmonary fibrosis in microscopic images. Maglogiannis I, Sarimveis H, Kiranoudis CT, Chatziioannou AA, Oikonomou N, Aidinis V. IEEE Trans Inf Technol Biomed; 2008 Jan 15; 12(1):42-54. PubMed ID: 18270036 [Abstract] [Full Text] [Related] Page: [Previous] [Next] [New Search]