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Journal Abstract Search
167 related items for PubMed ID: 31698572
1. 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]
2. 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]
3. 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 Dec 12; 15(10):983-989. PubMed ID: 32008525 [Abstract] [Full Text] [Related]
4. 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 12; 32(8):678-84. PubMed ID: 18835130 [Abstract] [Full Text] [Related]
5. MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling. Mutasa S, Chang PD, Ruzal-Shapiro C, Ayyala R. J Digit Imaging; 2018 Aug 12; 31(4):513-519. PubMed ID: 29404850 [Abstract] [Full Text] [Related]
6. A Deep Automated Skeletal Bone Age Assessment Model with Heterogeneous Features Learning. Tong C, Liang B, Li J, Zheng Z. J Med Syst; 2018 Nov 03; 42(12):249. PubMed ID: 30390162 [Abstract] [Full Text] [Related]
7. Automatic analysis of hand radiographs for the assessment of skeletal age: a subsymbolic approach. Rucci M, Coppini G, Nicoletti I, Cheli D, Valli G. Comput Biomed Res; 1995 Jun 03; 28(3):239-56. PubMed ID: 7554858 [Abstract] [Full Text] [Related]
9. Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph. Ren X, Li T, Yang X, Wang S, Ahmad S, Xiang L, Stone SR, Li L, Zhan Y, Shen D, Wang Q. IEEE J Biomed Health Inform; 2019 Sep 03; 23(5):2030-2038. PubMed ID: 30346295 [Abstract] [Full Text] [Related]
10. 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 Sep 03; 31(4-5):299-310. PubMed ID: 17369018 [Abstract] [Full Text] [Related]
12. Computer-assisted bone age assessment based on features automatically extracted from a hand radiograph. Pietka E. Comput Med Imaging Graph; 1995 Sep 03; 19(3):251-9. PubMed ID: 7641169 [Abstract] [Full Text] [Related]
13. Bone age determination using only the index finger: a novel approach using a convolutional neural network compared with human radiologists. Reddy NE, Rayan JC, Annapragada AV, Mahmood NF, Scheslinger AE, Zhang W, Kan JH. Pediatr Radiol; 2020 Apr 03; 50(4):516-523. PubMed ID: 31863193 [Abstract] [Full Text] [Related]
15. Bone age estimation based on phalanx information with fuzzy constrain of carpals. Hsieh CW, Jong TL, Tiu CM. Med Biol Eng Comput; 2007 Mar 03; 45(3):283-95. PubMed ID: 17242901 [Abstract] [Full Text] [Related]
17. Fully Automated Deep Learning System for Bone Age Assessment. Lee H, Tajmir S, Lee J, Zissen M, Yeshiwas BA, Alkasab TK, Choy G, Do S. J Digit Imaging; 2017 Aug 03; 30(4):427-441. PubMed ID: 28275919 [Abstract] [Full Text] [Related]