819 related articles for article (PubMed ID: 32957059)
1. Skeletal bone age prediction based on a deep residual network with spatial transformer.
Han Y; Wang G
Comput Methods Programs Biomed; 2020 Dec; 197():105754. PubMed ID: 32957059
[TBL] [Abstract][Full Text] [Related]
2. 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; 31(4):513-519. PubMed ID: 29404850
[TBL] [Abstract][Full Text] [Related]
3. 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; 42(12):249. PubMed ID: 30390162
[TBL] [Abstract][Full Text] [Related]
4. Research and Application of Ancient Chinese Pattern Restoration Based on Deep Convolutional Neural Network.
Fu X
Comput Intell Neurosci; 2021; 2021():2691346. PubMed ID: 34925485
[TBL] [Abstract][Full Text] [Related]
5. Deep Learning Based Analysis of Histopathological Images of Breast Cancer.
Xie J; Liu R; Luttrell J; Zhang C
Front Genet; 2019; 10():80. PubMed ID: 30838023
[TBL] [Abstract][Full Text] [Related]
6. Automated detection of leukemia by pretrained deep neural networks and transfer learning: A comparison.
Anilkumar KK; Manoj VJ; Sagi TM
Med Eng Phys; 2021 Dec; 98():8-19. PubMed ID: 34848042
[TBL] [Abstract][Full Text] [Related]
7. 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; 23(5):2030-2038. PubMed ID: 30346295
[TBL] [Abstract][Full Text] [Related]
8. Automatic feature learning using multichannel ROI based on deep structured algorithms for computerized lung cancer diagnosis.
Sun W; Zheng B; Qian W
Comput Biol Med; 2017 Oct; 89():530-539. PubMed ID: 28473055
[TBL] [Abstract][Full Text] [Related]
9. Forensic bone age estimation of adolescent pelvis X-rays based on two-stage convolutional neural network.
Peng LQ; Guo YC; Wan L; Liu TA; Wang P; Zhao H; Wang YH
Int J Legal Med; 2022 May; 136(3):797-810. PubMed ID: 35039894
[TBL] [Abstract][Full Text] [Related]
10. Report of clinical bone age assessment using deep learning for an Asian population in Taiwan.
Cheng CF; Huang ET; Kuo JT; Liao KY; Tsai FJ
Biomedicine (Taipei); 2021; 11(3):50-58. PubMed ID: 35223411
[TBL] [Abstract][Full Text] [Related]
11. Intelligent medical image feature extraction method based on improved deep learning.
Zhi Z; Qing M
Technol Health Care; 2021; 29(2):363-379. PubMed ID: 33386835
[TBL] [Abstract][Full Text] [Related]
12. A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images.
Pang S; Yu Z; Orgun MA
Comput Methods Programs Biomed; 2017 Mar; 140():283-293. PubMed ID: 28254085
[TBL] [Abstract][Full Text] [Related]
13. A novel biomedical image indexing and retrieval system via deep preference learning.
Pang S; Orgun MA; Yu Z
Comput Methods Programs Biomed; 2018 May; 158():53-69. PubMed ID: 29544790
[TBL] [Abstract][Full Text] [Related]
14. Combining deep residual neural network features with supervised machine learning algorithms to classify diverse food image datasets.
McAllister P; Zheng H; Bond R; Moorhead A
Comput Biol Med; 2018 Apr; 95():217-233. PubMed ID: 29549733
[TBL] [Abstract][Full Text] [Related]
15. White blood cells detection and classification based on regional convolutional neural networks.
Kutlu H; Avci E; Özyurt F
Med Hypotheses; 2020 Feb; 135():109472. PubMed ID: 31760248
[TBL] [Abstract][Full Text] [Related]
16. The exploration of feature extraction and machine learning for predicting bone density from simple spine X-ray images in a Korean population.
Lee S; Choe EK; Kang HY; Yoon JW; Kim HS
Skeletal Radiol; 2020 Apr; 49(4):613-618. PubMed ID: 31760458
[TBL] [Abstract][Full Text] [Related]
17. [Advantages and Application Prospects of Deep Learning in Image Recognition and Bone Age Assessment].
Hu TH; Wan L; Liu TA; Wang MW; Chen T; Wang YH
Fa Yi Xue Za Zhi; 2017 Dec; 33(6):629-634. PubMed ID: 29441773
[TBL] [Abstract][Full Text] [Related]
18. Automatic 3D landmarking model using patch-based deep neural networks for CT image of oral and maxillofacial surgery.
Ma Q; Kobayashi E; Fan B; Nakagawa K; Sakuma I; Masamune K; Suenaga H
Int J Med Robot; 2020 Jun; 16(3):e2093. PubMed ID: 32065718
[TBL] [Abstract][Full Text] [Related]
19. Deep Semantic Segmentation of Kidney and Space-Occupying Lesion Area Based on SCNN and ResNet Models Combined with SIFT-Flow Algorithm.
Xia KJ; Yin HS; Zhang YD
J Med Syst; 2018 Nov; 43(1):2. PubMed ID: 30456668
[TBL] [Abstract][Full Text] [Related]
20. With or without human interference for precise age estimation based on machine learning?
Han M; Du S; Ge Y; Zhang D; Chi Y; Long H; Yang J; Yang Y; Xin J; Chen T; Zheng N; Guo YC
Int J Legal Med; 2022 May; 136(3):821-831. PubMed ID: 35157129
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]