430 related articles for article (PubMed ID: 33599801)
1. A fully automated rib fracture detection system on chest CT images and its impact on radiologist performance.
Meng XH; Wu DJ; Wang Z; Ma XL; Dong XM; Liu AE; Chen L
Skeletal Radiol; 2021 Sep; 50(9):1821-1828. PubMed ID: 33599801
[TBL] [Abstract][Full Text] [Related]
2. Automatic Detection and Classification of Rib Fractures on Thoracic CT Using Convolutional Neural Network: Accuracy and Feasibility.
Zhou QQ; Wang J; Tang W; Hu ZC; Xia ZY; Li XS; Zhang R; Yin X; Zhang B; Zhang H
Korean J Radiol; 2020 Jul; 21(7):869-879. PubMed ID: 32524787
[TBL] [Abstract][Full Text] [Related]
3. Rib fracture detection system based on deep learning.
Yao L; Guan X; Song X; Tan Y; Wang C; Jin C; Chen M; Wang H; Zhang M
Sci Rep; 2021 Dec; 11(1):23513. PubMed ID: 34873241
[TBL] [Abstract][Full Text] [Related]
4. Automatic detection and classification of rib fractures based on patients' CT images and clinical information via convolutional neural network.
Zhou QQ; Tang W; Wang J; Hu ZC; Xia ZY; Zhang R; Fan X; Yong W; Yin X; Zhang B; Zhang H
Eur Radiol; 2021 Jun; 31(6):3815-3825. PubMed ID: 33201278
[TBL] [Abstract][Full Text] [Related]
5. Precise anatomical localization and classification of rib fractures on CT using a convolutional neural network.
Zhou QQ; Hu ZC; Tang W; Xia ZY; Wang J; Zhang R; Li X; Chen CY; Zhang B; Lu L; Zhang H
Clin Imaging; 2022 Jan; 81():24-32. PubMed ID: 34598000
[TBL] [Abstract][Full Text] [Related]
6. Development and assessment of deep learning system for the location and classification of rib fractures via computed tomography.
Yang C; Wang J; Xu J; Huang C; Liu F; Sun W; Hong R; Zhang L; Ma D; Li Z; Zhang X; Cai J; Fu Z
Eur J Radiol; 2022 Sep; 154():110434. PubMed ID: 35797792
[TBL] [Abstract][Full Text] [Related]
7. Assessment of automatic rib fracture detection on chest CT using a deep learning algorithm.
Wang S; Wu D; Ye L; Chen Z; Zhan Y; Li Y
Eur Radiol; 2023 Mar; 33(3):1824-1834. PubMed ID: 36214848
[TBL] [Abstract][Full Text] [Related]
8. Clinical evaluation of AI software for rib fracture detection and its impact on junior radiologist performance.
Liu X; Wu D; Xie H; Xu Y; Liu L; Tao X; Wang X
Acta Radiol; 2022 Nov; 63(11):1535-1545. PubMed ID: 34617809
[TBL] [Abstract][Full Text] [Related]
9. Detection of acute rib fractures on CT images with convolutional neural networks: effect of location and type of fracture and reader's experience.
Azuma M; Nakada H; Takei M; Nakamura K; Katsuragawa S; Shinkawa N; Terada T; Masuda R; Hattori Y; Ide T; Kimura A; Shimomura M; Kawano M; Matsumura K; Meiri T; Ochiai H; Hirai T
Emerg Radiol; 2022 Apr; 29(2):317-328. PubMed ID: 34855002
[TBL] [Abstract][Full Text] [Related]
10. Chest radiographs versus CT for the detection of rib fractures in children (DRIFT): a diagnostic accuracy observational study.
Shelmerdine SC; Langan D; Hutchinson JC; Hickson M; Pawley K; Suich J; Palm L; Sebire NJ; Wade A; Arthurs OJ;
Lancet Child Adolesc Health; 2018 Nov; 2(11):802-811. PubMed ID: 30249541
[TBL] [Abstract][Full Text] [Related]
11. Automated Rib Fracture Detection on Chest X-Ray Using Contrastive Learning.
Sun H; Wang X; Li Z; Liu A; Xu S; Jiang Q; Li Q; Xue Z; Gong J; Chen L; Xiao Y; Liu S
J Digit Imaging; 2023 Oct; 36(5):2138-2147. PubMed ID: 37407842
[TBL] [Abstract][Full Text] [Related]
12. FasterRib: A deep learning algorithm to automate identification and characterization of rib fractures on chest computed tomography scans.
Edamadaka S; Brown DW; Swaroop R; Kolodner M; Spain DA; Forrester JD; Choi J
J Trauma Acute Care Surg; 2023 Aug; 95(2):181-185. PubMed ID: 36872505
[TBL] [Abstract][Full Text] [Related]
13. Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet.
Jin L; Yang J; Kuang K; Ni B; Gao Y; Sun Y; Gao P; Ma W; Tan M; Kang H; Chen J; Li M
EBioMedicine; 2020 Dec; 62():103106. PubMed ID: 33186809
[TBL] [Abstract][Full Text] [Related]
14. Improving diagnostic performance of rib fractures for the night shift in radiology department using a computer-aided diagnosis system based on deep learning: A clinical retrospective study.
Xiong S; Hu H; Liu S; Huang Y; Cheng J; Wan B
J Xray Sci Technol; 2023; 31(2):265-276. PubMed ID: 36806541
[TBL] [Abstract][Full Text] [Related]
15. Comparison and verification of two deep learning models for the detection of chest CT rib fractures.
Hongbiao S; Shaochun X; Xiang W; YuRun T; Yang L; Mingzi Z; Hua Y; Keyang Z; Chi-Cheng F; Qu F; Pengchen G; Yi X; Shiyuan L
Acta Radiol; 2023 Feb; 64(2):542-551. PubMed ID: 35300519
[TBL] [Abstract][Full Text] [Related]
16. [Value of artificial intelligence in the improvement of diagnostic consistency of radiology residents].
Liu X; Xie HH; Xu YF; Zhang XD; Tao XF; Liu L; Wang XY
Beijing Da Xue Xue Bao Yi Xue Ban; 2023 Aug; 55(4):670-675. PubMed ID: 37534650
[TBL] [Abstract][Full Text] [Related]
17. Rib fracture detection in computed tomography images using deep convolutional neural networks.
Kaiume M; Suzuki S; Yasaka K; Sugawara H; Shen Y; Katada Y; Ishikawa T; Fukui R; Abe O
Medicine (Baltimore); 2021 May; 100(20):e26024. PubMed ID: 34011107
[TBL] [Abstract][Full Text] [Related]
18. Development and Evaluation of a Deep Learning Algorithm for Rib Segmentation and Fracture Detection from Multicenter Chest CT Images.
Wu M; Chai Z; Qian G; Lin H; Wang Q; Wang L; Chen H
Radiol Artif Intell; 2021 Sep; 3(5):e200248. PubMed ID: 34617026
[TBL] [Abstract][Full Text] [Related]
19. Convolutional neural network for detecting rib fractures on chest radiographs: a feasibility study.
Wu J; Liu N; Li X; Fan Q; Li Z; Shang J; Wang F; Chen B; Shen Y; Cao P; Liu Z; Li M; Qian J; Yang J; Sun Q
BMC Med Imaging; 2023 Jan; 23(1):18. PubMed ID: 36717773
[TBL] [Abstract][Full Text] [Related]
20. Evaluation of Rib Fractures on a Single-in-plane Image Reformation of the Rib Cage in CT Examinations.
Dankerl P; Seuss H; Ellmann S; Cavallaro A; Uder M; Hammon M
Acad Radiol; 2017 Feb; 24(2):153-159. PubMed ID: 27876272
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
