194 related articles for article (PubMed ID: 34237817)
1. Application of convolutional neural networks for distal radio-ulnar fracture detection on plain radiographs in the emergency room.
Kim MW; Jung J; Park SJ; Park YS; Yi JH; Yang WS; Kim JH; Cho BJ; Ha SO
Clin Exp Emerg Med; 2021 Jun; 8(2):120-127. PubMed ID: 34237817
[TBL] [Abstract][Full Text] [Related]
2. Development and Validation of a Deep Learning Model Using Convolutional Neural Networks to Identify Scaphoid Fractures in Radiographs.
Yoon AP; Lee YL; Kane RL; Kuo CF; Lin C; Chung KC
JAMA Netw Open; 2021 May; 4(5):e216096. PubMed ID: 33956133
[TBL] [Abstract][Full Text] [Related]
3. Convolutional Neural Networks for Automated Fracture Detection and Localization on Wrist Radiographs.
Thian YL; Li Y; Jagmohan P; Sia D; Chan VEY; Tan RT
Radiol Artif Intell; 2019 Jan; 1(1):e180001. PubMed ID: 33937780
[TBL] [Abstract][Full Text] [Related]
4. Detecting Distal Radial Fractures from Wrist Radiographs Using a Deep Convolutional Neural Network with an Accuracy Comparable to Hand Orthopedic Surgeons.
Suzuki T; Maki S; Yamazaki T; Wakita H; Toguchi Y; Horii M; Yamauchi T; Kawamura K; Aramomi M; Sugiyama H; Matsuura Y; Yamashita T; Orita S; Ohtori S
J Digit Imaging; 2022 Feb; 35(1):39-46. PubMed ID: 34913132
[TBL] [Abstract][Full Text] [Related]
5. Deep learning detection of subtle fractures using staged algorithms to mimic radiologist search pattern.
Ren M; Yi PH
Skeletal Radiol; 2022 Feb; 51(2):345-353. PubMed ID: 33576861
[TBL] [Abstract][Full Text] [Related]
6. Detecting pediatric wrist fractures using deep-learning-based object detection.
Zech JR; Carotenuto G; Igbinoba Z; Tran CV; Insley E; Baccarella A; Wong TT
Pediatr Radiol; 2023 May; 53(6):1125-1134. PubMed ID: 36650360
[TBL] [Abstract][Full Text] [Related]
7. Use of deep learning methods for hand fracture detection from plain hand radiographs.
Üreten K; Sevinç HF; İğdeli U; Onay A; Maraş Y
Ulus Travma Acil Cerrahi Derg; 2022 Jan; 28(2):196-201. PubMed ID: 35099027
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Deep learning-based prediction of rib fracture presence in frontal radiographs of children under two years of age: a proof-of-concept study.
Ghosh A; Bose S; Patton D; Kumar I; Khalkhali V; Henry MK; Ouyang M; Huang H; Vossough A; Sze RW; Sotardi S; Francavilla M
Br J Radiol; 2023 Apr; 96(1145):20220778. PubMed ID: 36802807
[TBL] [Abstract][Full Text] [Related]
10. Artificial intelligence in fracture detection: transfer learning from deep convolutional neural networks.
Kim DH; MacKinnon T
Clin Radiol; 2018 May; 73(5):439-445. PubMed ID: 29269036
[TBL] [Abstract][Full Text] [Related]
11. Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs.
Cheng CT; Ho TY; Lee TY; Chang CC; Chou CC; Chen CC; Chung IF; Liao CH
Eur Radiol; 2019 Oct; 29(10):5469-5477. PubMed ID: 30937588
[TBL] [Abstract][Full Text] [Related]
12. Using a Dual-Input Convolutional Neural Network for Automated Detection of Pediatric Supracondylar Fracture on Conventional Radiography.
Choi JW; Cho YJ; Lee S; Lee J; Lee S; Choi YH; Cheon JE; Ha JY
Invest Radiol; 2020 Feb; 55(2):101-110. PubMed ID: 31725064
[TBL] [Abstract][Full Text] [Related]
13. Development and Validation of a Convolutional Neural Network for Automated Detection of Scaphoid Fractures on Conventional Radiographs.
Hendrix N; Scholten E; Vernhout B; Bruijnen S; Maresch B; de Jong M; Diepstraten S; Bollen S; Schalekamp S; de Rooij M; Scholtens A; Hendrix W; Samson T; Sharon Ong LL; Postma E; van Ginneken B; Rutten M
Radiol Artif Intell; 2021 Jul; 3(4):e200260. PubMed ID: 34350413
[TBL] [Abstract][Full Text] [Related]
14. Assessment of deep convolutional neural network models for mandibular fracture detection in panoramic radiographs.
Warin K; Limprasert W; Suebnukarn S; Inglam S; Jantana P; Vicharueang S
Int J Oral Maxillofac Surg; 2022 Nov; 51(11):1488-1494. PubMed ID: 35397969
[TBL] [Abstract][Full Text] [Related]
15. Generalizable Inter-Institutional Classification of Abnormal Chest Radiographs Using Efficient Convolutional Neural Networks.
Pan I; Agarwal S; Merck D
J Digit Imaging; 2019 Oct; 32(5):888-896. PubMed ID: 30838482
[TBL] [Abstract][Full Text] [Related]
16. Evaluation of a convolutional neural network to identify scaphoid fractures on radiographs.
Li T; Yin Y; Yi Z; Guo Z; Guo Z; Chen S
J Hand Surg Eur Vol; 2023 May; 48(5):445-450. PubMed ID: 36205038
[TBL] [Abstract][Full Text] [Related]
17. Detection of Pneumothorax with Deep Learning Models: Learning From Radiologist Labels vs Natural Language Processing Model Generated Labels.
Hallinan JTPD; Feng M; Ng D; Sia SY; Tiong VTY; Jagmohan P; Makmur A; Thian YL
Acad Radiol; 2022 Sep; 29(9):1350-1358. PubMed ID: 34649780
[TBL] [Abstract][Full Text] [Related]
18. Prediction of pulp exposure risk of carious pulpitis based on deep learning.
Wang L; Wu F; Xiao M; Chen YX; Wu L
Hua Xi Kou Qiang Yi Xue Za Zhi; 2023 Apr; 41(2):218-224. PubMed ID: 37056189
[TBL] [Abstract][Full Text] [Related]
19. Maxillofacial fracture detection and classification in computed tomography images using convolutional neural network-based models.
Warin K; Limprasert W; Suebnukarn S; Paipongna T; Jantana P; Vicharueang S
Sci Rep; 2023 Mar; 13(1):3434. PubMed ID: 36859660
[TBL] [Abstract][Full Text] [Related]
20. Deep learning for accurately recognizing common causes of shoulder pain on radiographs.
Grauhan NF; Niehues SM; Gaudin RA; Keller S; Vahldiek JL; Adams LC; Bressem KK
Skeletal Radiol; 2022 Feb; 51(2):355-362. PubMed ID: 33611622
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]