These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

265 related articles for article (PubMed ID: 33126175)

  • 1. Hierarchical fracture classification of proximal femur X-Ray images using a multistage Deep Learning approach.
    Tanzi L; Vezzetti E; Moreno R; Aprato A; Audisio A; Massè A
    Eur J Radiol; 2020 Dec; 133():109373. PubMed ID: 33126175
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development and Validation of a Convolutional Neural Network Model to Predict a Pathologic Fracture in the Proximal Femur Using Abdomen and Pelvis CT Images of Patients With Advanced Cancer.
    Joo MW; Ko T; Kim MS; Lee YS; Shin SH; Chung YG; Lee HK
    Clin Orthop Relat Res; 2023 Nov; 481(11):2247-2256. PubMed ID: 37615504
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Vision Transformer for femur fracture classification.
    Tanzi L; Audisio A; Cirrincione G; Aprato A; Vezzetti E
    Injury; 2022 Jul; 53(7):2625-2634. PubMed ID: 35469638
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Classification of AO/OTA 31A/B femur fractures in X-ray images using YOLOv8 and advanced data augmentation techniques.
    Marullo G; Ulrich L; Antonaci FG; Audisio A; Aprato A; Massè A; Vezzetti E
    Bone Rep; 2024 Sep; 22():101801. PubMed ID: 39324016
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Precise proximal femur fracture classification for interactive training and surgical planning.
    Jiménez-Sánchez A; Kazi A; Albarqouni S; Kirchhoff C; Biberthaler P; Navab N; Kirchhoff S; Mateus D
    Int J Comput Assist Radiol Surg; 2020 May; 15(5):847-857. PubMed ID: 32335786
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic multi-class intertrochanteric femur fracture detection from CT images based on AO/OTA classification using faster R-CNN-BO method.
    Yoon SJ; Hyong Kim T; Joo SB; Eel Oh S
    J Appl Biomed; 2020 Dec; 18(4):97-105. PubMed ID: 34907762
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated classification of hip fractures using deep convolutional neural networks with orthopedic surgeon-level accuracy: ensemble decision-making with antero-posterior and lateral radiographs.
    Yamada Y; Maki S; Kishida S; Nagai H; Arima J; Yamakawa N; Iijima Y; Shiko Y; Kawasaki Y; Kotani T; Shiga Y; Inage K; Orita S; Eguchi Y; Takahashi H; Yamashita T; Minami S; Ohtori S
    Acta Orthop; 2020 Dec; 91(6):699-704. PubMed ID: 32783544
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Curriculum learning for improved femur fracture classification: Scheduling data with prior knowledge and uncertainty.
    Jiménez-Sánchez A; Mateus D; Kirchhoff S; Kirchhoff C; Biberthaler P; Navab N; González Ballester MA; Piella G
    Med Image Anal; 2022 Jan; 75():102273. PubMed ID: 34731773
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automatic detection and classification of peri-prosthetic femur fracture.
    Alzaid A; Wignall A; Dogramadzi S; Pandit H; Xie SQ
    Int J Comput Assist Radiol Surg; 2022 Apr; 17(4):649-660. PubMed ID: 35157227
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automated detection and classification of the proximal humerus fracture by using deep learning algorithm.
    Chung SW; Han SS; Lee JW; Oh KS; Kim NR; Yoon JP; Kim JY; Moon SH; Kwon J; Lee HJ; Noh YM; Kim Y
    Acta Orthop; 2018 Aug; 89(4):468-473. PubMed ID: 29577791
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Ankle fracture classification using deep learning: automating detailed AO Foundation/Orthopedic Trauma Association (AO/OTA) 2018 malleolar fracture identification reaches a high degree of correct classification.
    Olczak J; Emilson F; Razavian A; Antonsson T; Stark A; Gordon M
    Acta Orthop; 2021 Feb; 92(1):102-108. PubMed ID: 33103536
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Computer-aided diagnostic for classifying chest X-ray images using deep ensemble learning.
    Visuña L; Yang D; Garcia-Blas J; Carretero J
    BMC Med Imaging; 2022 Oct; 22(1):178. PubMed ID: 36243705
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Feasibility of a generalized convolutional neural network for automated identification of vertebral compression fractures: The Manitoba Bone Mineral Density Registry.
    Monchka BA; Kimelman D; Lix LM; Leslie WD
    Bone; 2021 Sep; 150():116017. PubMed ID: 34020078
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multi-View Ensemble Convolutional Neural Network to Improve Classification of Pneumonia in Low Contrast Chest X-Ray Images.
    Ferreira JR; Armando Cardona Cardenas D; Moreno RA; de Fatima de Sa Rebelo M; Krieger JE; Antonio Gutierrez M
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1238-1241. PubMed ID: 33018211
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Femoral neck fracture detection in X-ray images using deep learning and genetic algorithm approaches.
    Beyaz S; Açıcı K; Sümer E
    Jt Dis Relat Surg; 2020; 31(2):175-183. PubMed ID: 32584712
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.
    Al-Antari MA; Al-Masni MA; Choi MT; Han SM; Kim TS
    Int J Med Inform; 2018 Sep; 117():44-54. PubMed ID: 30032964
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep learning assisted detection of glaucomatous optic neuropathy and potential designs for a generalizable model.
    Ko YC; Wey SY; Chen WT; Chang YF; Chen MJ; Chiou SH; Liu CJ; Lee CY
    PLoS One; 2020; 15(5):e0233079. PubMed ID: 32407355
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Catheter segmentation in X-ray fluoroscopy using synthetic data and transfer learning with light U-nets.
    Gherardini M; Mazomenos E; Menciassi A; Stoyanov D
    Comput Methods Programs Biomed; 2020 Aug; 192():105420. PubMed ID: 32171151
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Artificial intelligence improves the accuracy of residents in the diagnosis of hip fractures: a multicenter study.
    Sato Y; Takegami Y; Asamoto T; Ono Y; Hidetoshi T; Goto R; Kitamura A; Honda S
    BMC Musculoskelet Disord; 2021 May; 22(1):407. PubMed ID: 33941145
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Assessing the speed-accuracy trade-offs of popular convolutional neural networks for single-crop rib fracture classification.
    Castro-Zunti R; Chae KJ; Choi Y; Jin GY; Ko SB
    Comput Med Imaging Graph; 2021 Jul; 91():101937. PubMed ID: 34087611
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.