BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

213 related articles for article (PubMed ID: 35469638)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism.
    Islam NU; Zhou Z; Gehlot S; Gotway MB; Liang J
    Med Image Anal; 2024 Jan; 91():102988. PubMed ID: 37924750
    [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. 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]  

  • 7. Do it the transformer way: A comprehensive review of brain and vision transformers for autism spectrum disorder diagnosis and classification.
    Alharthi AG; Alzahrani SM
    Comput Biol Med; 2023 Dec; 167():107667. PubMed ID: 37939407
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Distilling Knowledge From an Ensemble of Vision Transformers for Improved Classification of Breast Ultrasound.
    Zhou G; Mosadegh B
    Acad Radiol; 2024 Jan; 31(1):104-120. PubMed ID: 37666747
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. IEViT: An enhanced vision transformer architecture for chest X-ray image classification.
    Okolo GI; Katsigiannis S; Ramzan N
    Comput Methods Programs Biomed; 2022 Nov; 226():107141. PubMed ID: 36162246
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Cross-Attention Based Multi-Resolution Feature Fusion Model for Self-Supervised Cervical OCT Image Classification.
    Wang Q; Chen K; Dou W; Ma Y
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(4):2541-2554. PubMed ID: 37027657
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A VGG attention vision transformer network for benign and malignant classification of breast ultrasound images.
    Qu X; Lu H; Tang W; Wang S; Zheng D; Hou Y; Jiang J
    Med Phys; 2022 Sep; 49(9):5787-5798. PubMed ID: 35866492
    [TBL] [Abstract][Full Text] [Related]  

  • 14. RT-ViT: Real-Time Monocular Depth Estimation Using Lightweight Vision Transformers.
    Ibrahem H; Salem A; Kang HS
    Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632271
    [TBL] [Abstract][Full Text] [Related]  

  • 15. HTC-retina: A hybrid retinal diseases classification model using transformer-Convolutional Neural Network from optical coherence tomography images.
    Laouarem A; Kara-Mohamed C; Bourennane EB; Hamdi-Cherif A
    Comput Biol Med; 2024 Jun; 178():108726. PubMed ID: 38878400
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Classification of Mobile-Based Oral Cancer Images Using the Vision Transformer and the Swin Transformer.
    Song B; Kc DR; Yang RY; Li S; Zhang C; Liang R
    Cancers (Basel); 2024 Feb; 16(5):. PubMed ID: 38473348
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Fusion of electronic health records and radiographic images for a multimodal deep learning prediction model of atypical femur fractures.
    Schilcher J; Nilsson A; Andlid O; Eklund A
    Comput Biol Med; 2024 Jan; 168():107704. PubMed ID: 37980797
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An efficient and robust Phonocardiography (PCG)-based Valvular Heart Diseases (VHD) detection framework using Vision Transformer (ViT).
    Jamil S; Roy AM
    Comput Biol Med; 2023 May; 158():106734. PubMed ID: 36989745
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Vision Transformers for Classification of Breast Ultrasound Images.
    Gheflati B; Rivaz H
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():480-483. PubMed ID: 36086171
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 11.