172 related articles for article (PubMed ID: 37022710)
1. 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]
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. Artificial intelligence-based tools with automated segmentation and measurement on CT images to assist accurate and fast diagnosis in acute pancreatitis.
Pan X; Jiao K; Li X; Feng L; Tian Y; Wu L; Zhang P; Wang K; Chen S; Yang B; Chen W
Br J Radiol; 2024 Jun; 97(1159):1268-1277. PubMed ID: 38730541
[TBL] [Abstract][Full Text] [Related]
4. Artificial intelligence diagnostic model for multi-site fracture X-ray images of extremities based on deep convolutional neural networks.
Xie Y; Li X; Chen F; Wen R; Jing Y; Liu C; Wang J
Quant Imaging Med Surg; 2024 Feb; 14(2):1930-1943. PubMed ID: 38415122
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. 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]
8. Assessment of artificial intelligence-aided reading in the detection of nasal bone fractures.
Yang C; Yang L; Gao GD; Zong HQ; Gao D
Technol Health Care; 2023; 31(3):1017-1025. PubMed ID: 36442167
[TBL] [Abstract][Full Text] [Related]
9. Automatic orbital segmentation using deep learning-based 2D U-net and accuracy evaluation: A retrospective study.
Morita D; Kawarazaki A; Koimizu J; Tsujiko S; Soufi M; Otake Y; Sato Y; Numajiri T
J Craniomaxillofac Surg; 2023 Oct; 51(10):609-613. PubMed ID: 37813770
[TBL] [Abstract][Full Text] [Related]
10. Three-dimensional multipath DenseNet for improving automatic segmentation of glioblastoma on pre-operative multimodal MR images.
Fu J; Singhrao K; Qi XS; Yang Y; Ruan D; Lewis JH
Med Phys; 2021 Jun; 48(6):2859-2866. PubMed ID: 33621350
[TBL] [Abstract][Full Text] [Related]
11. Deep Convolutional Neural Networks for Automatic Detection of Orbital Blowout Fractures.
Li L; Song X; Guo Y; Liu Y; Sun R; Zou H; Zhou H; Fan X
J Craniofac Surg; 2020; 31(2):400-403. PubMed ID: 31842071
[TBL] [Abstract][Full Text] [Related]
12. Automatic coronary artery segmentation and diagnosis of stenosis by deep learning based on computed tomographic coronary angiography.
Li Y; Wu Y; He J; Jiang W; Wang J; Peng Y; Jia Y; Xiong T; Jia K; Yi Z; Chen M
Eur Radiol; 2022 Sep; 32(9):6037-6045. PubMed ID: 35394183
[TBL] [Abstract][Full Text] [Related]
13. Influence of dental fillings and tooth type on the performance of a novel artificial intelligence-driven tool for automatic tooth segmentation on CBCT images - A validation study.
Fontenele RC; Gerhardt MDN; Pinto JC; Van Gerven A; Willems H; Jacobs R; Freitas DQ
J Dent; 2022 Apr; 119():104069. PubMed ID: 35183696
[TBL] [Abstract][Full Text] [Related]
14. Deep Learning Models for Automatic Upper Airway Segmentation and Minimum Cross-Sectional Area Localisation in Two-Dimensional Images.
Chu G; Zhang R; He Y; Ng CH; Gu M; Leung YY; He H; Yang Y
Bioengineering (Basel); 2023 Aug; 10(8):. PubMed ID: 37627800
[TBL] [Abstract][Full Text] [Related]
15. Detection and classification of mandibular fracture on CT scan using deep convolutional neural network.
Wang X; Xu Z; Tong Y; Xia L; Jie B; Ding P; Bai H; Zhang Y; He Y
Clin Oral Investig; 2022 Jun; 26(6):4593-4601. PubMed ID: 35218428
[TBL] [Abstract][Full Text] [Related]
16. CheXLocNet: Automatic localization of pneumothorax in chest radiographs using deep convolutional neural networks.
Wang H; Gu H; Qin P; Wang J
PLoS One; 2020; 15(11):e0242013. PubMed ID: 33166371
[TBL] [Abstract][Full Text] [Related]
17. Evaluating the Accuracy and Reliability of Blowout Fracture Area Measurement Methods: A Review and the Potential Role of Artificial Intelligence.
Kang D
J Craniofac Surg; 2023 Sep; 34(6):1834-1836. PubMed ID: 37322582
[TBL] [Abstract][Full Text] [Related]
18. [Study on the accuracy of automatic segmentation of knee CT images based on deep learning].
Song P; Fan Z; Zhi X; Cao Z; Min S; Liu X; Zhang Y; Kong X; Chai W
Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi; 2022 May; 36(5):534-539. PubMed ID: 35570625
[TBL] [Abstract][Full Text] [Related]
19. From community-acquired pneumonia to COVID-19: a deep learning-based method for quantitative analysis of COVID-19 on thick-section CT scans.
Li Z; Zhong Z; Li Y; Zhang T; Gao L; Jin D; Sun Y; Ye X; Yu L; Hu Z; Xiao J; Huang L; Tang Y
Eur Radiol; 2020 Dec; 30(12):6828-6837. PubMed ID: 32683550
[TBL] [Abstract][Full Text] [Related]
20. Feasibility of the soft attention-based models for automatic segmentation of OCT kidney images.
Moradi M; Du X; Huan T; Chen Y
Biomed Opt Express; 2022 May; 13(5):2728-2738. PubMed ID: 35774323
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]