394 related articles for article (PubMed ID: 34982041)
1. A Deep Residual U-Net Algorithm for Automatic Detection and Quantification of Ascites on Abdominopelvic Computed Tomography Images Acquired in the Emergency Department: Model Development and Validation.
Ko H; Huh J; Kim KW; Chung H; Ko Y; Kim JK; Lee JH; Lee J
J Med Internet Res; 2022 Jan; 24(1):e34415. PubMed ID: 34982041
[TBL] [Abstract][Full Text] [Related]
2. Layered deep learning for automatic mandibular segmentation in cone-beam computed tomography.
Verhelst PJ; Smolders A; Beznik T; Meewis J; Vandemeulebroucke A; Shaheen E; Van Gerven A; Willems H; Politis C; Jacobs R
J Dent; 2021 Nov; 114():103786. PubMed ID: 34425172
[TBL] [Abstract][Full Text] [Related]
3. Developing and verifying automatic detection of active pulmonary tuberculosis from multi-slice spiral CT images based on deep learning.
Ma L; Wang Y; Guo L; Zhang Y; Wang P; Pei X; Qian L; Jaeger S; Ke X; Yin X; Lure FYM
J Xray Sci Technol; 2020; 28(5):939-951. PubMed ID: 32651351
[TBL] [Abstract][Full Text] [Related]
4. A deep learning algorithm proposal to automatic pharyngeal airway detection and segmentation on CBCT images.
Sin Ç; Akkaya N; Aksoy S; Orhan K; Öz U
Orthod Craniofac Res; 2021 Dec; 24 Suppl 2():117-123. PubMed ID: 33619828
[TBL] [Abstract][Full Text] [Related]
5. Automated Lung Segmentation on Chest Computed Tomography Images with Extensive Lung Parenchymal Abnormalities Using a Deep Neural Network.
Yoo SJ; Yoon SH; Lee JH; Kim KH; Choi HI; Park SJ; Goo JM
Korean J Radiol; 2021 Mar; 22(3):476-488. PubMed ID: 33169549
[TBL] [Abstract][Full Text] [Related]
6. Automated deep learning-based segmentation of COVID-19 lesions from chest computed tomography images.
Salehi M; Ardekani MA; Taramsari AB; Ghaffari H; Haghparast M
Pol J Radiol; 2022; 87():e478-e486. PubMed ID: 36091652
[TBL] [Abstract][Full Text] [Related]
7. A hierarchical fusion strategy of deep learning networks for detection and segmentation of hepatocellular carcinoma from computed tomography images.
Lee IC; Tsai YP; Lin YC; Chen TC; Yen CH; Chiu NC; Hwang HE; Liu CA; Huang JG; Lee RC; Chao Y; Ho SY; Huang YH
Cancer Imaging; 2024 Mar; 24(1):43. PubMed ID: 38532511
[TBL] [Abstract][Full Text] [Related]
8. Automated segmentation of vertebral cortex with 3D U-Net-based deep convolutional neural network.
Li Y; Yao Q; Yu H; Xie X; Shi Z; Li S; Qiu H; Li C; Qin J
Front Bioeng Biotechnol; 2022; 10():996723. PubMed ID: 36338129
[No Abstract] [Full Text] [Related]
9. Deep-Learning-Based Automatic Segmentation of Parotid Gland on Computed Tomography Images.
Önder M; Evli C; Türk E; Kazan O; Bayrakdar İŞ; Çelik Ö; Costa ALF; Gomes JPP; Ogawa CM; Jagtap R; Orhan K
Diagnostics (Basel); 2023 Feb; 13(4):. PubMed ID: 36832069
[TBL] [Abstract][Full Text] [Related]
10. Development of a fully automatic deep learning system for L3 selection and body composition assessment on computed tomography.
Ha J; Park T; Kim HK; Shin Y; Ko Y; Kim DW; Sung YS; Lee J; Ham SJ; Khang S; Jeong H; Koo K; Lee J; Kim KW
Sci Rep; 2021 Nov; 11(1):21656. PubMed ID: 34737340
[TBL] [Abstract][Full Text] [Related]
11. Multi-Scale deep learning framework for cochlea localization, segmentation and analysis on clinical ultra-high-resolution CT images.
Heutink F; Koch V; Verbist B; van der Woude WJ; Mylanus E; Huinck W; Sechopoulos I; Caballo M
Comput Methods Programs Biomed; 2020 Jul; 191():105387. PubMed ID: 32109685
[TBL] [Abstract][Full Text] [Related]
12. A novel deep learning system for multi-class tooth segmentation and classification on cone beam computed tomography. A validation study.
Shaheen E; Leite A; Alqahtani KA; Smolders A; Van Gerven A; Willems H; Jacobs R
J Dent; 2021 Dec; 115():103865. PubMed ID: 34710545
[TBL] [Abstract][Full Text] [Related]
13. Automatic renal mass segmentation and classification on CT images based on 3D U-Net and ResNet algorithms.
Zhao T; Sun Z; Guo Y; Sun Y; Zhang Y; Wang X
Front Oncol; 2023; 13():1169922. PubMed ID: 37274226
[TBL] [Abstract][Full Text] [Related]
14. Deep learning-based triage and analysis of lesion burden for COVID-19: a retrospective study with external validation.
Wang M; Xia C; Huang L; Xu S; Qin C; Liu J; Cao Y; Yu P; Zhu T; Zhu H; Wu C; Zhang R; Chen X; Wang J; Du G; Zhang C; Wang S; Chen K; Liu Z; Xia L; Wang W
Lancet Digit Health; 2020 Oct; 2(10):e506-e515. PubMed ID: 32984796
[TBL] [Abstract][Full Text] [Related]
15. Automatic pulmonary vessel segmentation on noncontrast chest CT: deep learning algorithm developed using spatiotemporally matched virtual noncontrast images and low-keV contrast-enhanced vessel maps.
Nam JG; Witanto JN; Park SJ; Yoo SJ; Goo JM; Yoon SH
Eur Radiol; 2021 Dec; 31(12):9012-9021. PubMed ID: 34009411
[TBL] [Abstract][Full Text] [Related]
16. Fully automatic volume measurement of the adrenal gland on CT using deep learning to classify adrenal hyperplasia.
Kim TM; Choi SJ; Ko JY; Kim S; Jeong CW; Cho JY; Kim SY; Kim YG
Eur Radiol; 2023 Jun; 33(6):4292-4302. PubMed ID: 36571602
[TBL] [Abstract][Full Text] [Related]
17. Uncertainty-based Active Learning by Bayesian U-Net for Multi-label Cone-beam CT Segmentation.
Huang J; Farpour N; Yang BJ; Mupparapu M; Lure F; Li J; Yan H; Setzer FC
J Endod; 2024 Feb; 50(2):220-228. PubMed ID: 37979653
[TBL] [Abstract][Full Text] [Related]
18. Automatic Identification and Segmentation of Orbital Blowout Fractures Based on Artificial Intelligence.
Bao XL; Zhan X; Wang L; Zhu Q; Fan B; Li GY
Transl Vis Sci Technol; 2023 Apr; 12(4):7. PubMed ID: 37022710
[TBL] [Abstract][Full Text] [Related]
19. A method of rapid quantification of patient-specific organ doses for CT using deep-learning-based multi-organ segmentation and GPU-accelerated Monte Carlo dose computing.
Peng Z; Fang X; Yan P; Shan H; Liu T; Pei X; Wang G; Liu B; Kalra MK; Xu XG
Med Phys; 2020 Jun; 47(6):2526-2536. PubMed ID: 32155670
[TBL] [Abstract][Full Text] [Related]
20. Development and External Validation of a Deep Learning Algorithm to Identify and Localize Subarachnoid Hemorrhage on CT Scans.
Thanellas A; Peura H; Lavinto M; Ruokola T; Vieli M; Staartjes VE; Winklhofer S; Serra C; Regli L; Korja M
Neurology; 2023 Mar; 100(12):e1257-e1266. PubMed ID: 36639236
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
