BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

125 related articles for article (PubMed ID: 37766930)

  • 1. FemurTumorNet: Bone tumor classification in the proximal femur using DenseNet model based on radiographs.
    Pan C; Lian L; Chen J; Huang R
    J Bone Oncol; 2023 Oct; 42():100504. PubMed ID: 37766930
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Artificial intelligence-based classification of bone tumors in the proximal femur on plain radiographs: System development and validation.
    Park CW; Oh SJ; Kim KS; Jang MC; Kim IS; Lee YK; Chung MJ; Cho BH; Seo SW
    PLoS One; 2022; 17(2):e0264140. PubMed ID: 35202410
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Can a Deep-learning Model for the Automated Detection of Vertebral Fractures Approach the Performance Level of Human Subspecialists?
    Li YC; Chen HH; Horng-Shing Lu H; Hondar Wu HT; Chang MC; Chou PH
    Clin Orthop Relat Res; 2021 Jul; 479(7):1598-1612. PubMed ID: 33651768
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Utilizing heat maps as explainable artificial intelligence for detecting abnormalities on wrist and elbow radiographs.
    Lysdahlgaard S
    Radiography (Lond); 2023 Oct; 29(6):1132-1138. PubMed ID: 37806069
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Artificial intelligence and machine learning on diagnosis and classification of hip fracture: systematic review.
    Cha Y; Kim JT; Park CH; Kim JW; Lee SY; Yoo JI
    J Orthop Surg Res; 2022 Dec; 17(1):520. PubMed ID: 36456982
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic classification of spinal osteosarcoma and giant cell tumor of bone using optimized DenseNet.
    He J; Bi X
    J Bone Oncol; 2024 Jun; 46():100606. PubMed ID: 38778836
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Development and validation of a deep learning model using convolutional neural networks to identify femoral internal fixation device in radiographs.
    Chen Y; Sun Q; Li Z; Zhong Y; Zeng J; Nie T
    Skeletal Radiol; 2023 Aug; 52(8):1577-1583. PubMed ID: 36964792
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Artificial Intelligence for Automated Implant Identification in Total Hip Arthroplasty: A Multicenter External Validation Study Exceeding Two Million Plain Radiographs.
    Karnuta JM; Murphy MP; Luu BC; Ryan MJ; Haeberle HS; Brown NM; Iorio R; Chen AF; Ramkumar PN
    J Arthroplasty; 2023 Oct; 38(10):1998-2003.e1. PubMed ID: 35271974
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. What Are the Applications and Limitations of Artificial Intelligence for Fracture Detection and Classification in Orthopaedic Trauma Imaging? A Systematic Review.
    Langerhuizen DWG; Janssen SJ; Mallee WH; van den Bekerom MPJ; Ring D; Kerkhoffs GMMJ; Jaarsma RL; Doornberg JN
    Clin Orthop Relat Res; 2019 Nov; 477(11):2482-2491. PubMed ID: 31283727
    [TBL] [Abstract][Full Text] [Related]  

  • 11. GHA-DenseNet prediction and diagnosis of malignancy in femoral bone tumors using magnetic resonance imaging.
    Yuguang Y; Chen Y; Zhu D; Huang Y; Huang Y; Li X; Xiahou J
    J Bone Oncol; 2024 Feb; 44():100520. PubMed ID: 38261934
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Convolutional Neural Networks (CNNs) for Pneumonia Classification on Pediatric Chest Radiographs.
    Saboo YS; Kapse S; Prasanna P
    Cureus; 2023 Aug; 15(8):e44130. PubMed ID: 37753018
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Which Two-dimensional Radiographic Measurements of Cam Femoroacetabular Impingement Best Describe the Three-dimensional Shape of the Proximal Femur?
    Atkins PR; Shin Y; Agrawal P; Elhabian SY; Whitaker RT; Weiss JA; Aoki SK; Peters CL; Anderson AE
    Clin Orthop Relat Res; 2019 Jan; 477(1):242-253. PubMed ID: 30179924
    [TBL] [Abstract][Full Text] [Related]  

  • 14. How much can AI see in early pregnancy: A multi-center study of fetus head characterization in week 10-14 in ultrasound using deep learning.
    Lin Q; Zhou Y; Shi S; Zhang Y; Yin S; Liu X; Peng Q; Huang S; Jiang Y; Cui C; She R; Xu J; Dong F
    Comput Methods Programs Biomed; 2022 Nov; 226():107170. PubMed ID: 36272307
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multitask Deep Learning for Segmentation and Classification of Primary Bone Tumors on Radiographs.
    von Schacky CE; Wilhelm NJ; Schäfer VS; Leonhardt Y; Gassert FG; Foreman SC; Gassert FT; Jung M; Jungmann PM; Russe MF; Mogler C; Knebel C; von Eisenhart-Rothe R; Makowski MR; Woertler K; Burgkart R; Gersing AS
    Radiology; 2021 Nov; 301(2):398-406. PubMed ID: 34491126
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Efficient pulmonary nodules classification using radiomics and different artificial intelligence strategies.
    Saied M; Raafat M; Yehia S; Khalil MM
    Insights Imaging; 2023 May; 14(1):91. PubMed ID: 37199791
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Detection of COVID-19 Using Transfer Learning and Grad-CAM Visualization on Indigenously Collected X-ray Dataset.
    Umair M; Khan MS; Ahmed F; Baothman F; Alqahtani F; Alian M; Ahmad J
    Sensors (Basel); 2021 Aug; 21(17):. PubMed ID: 34502702
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The ensemble artificial intelligence (AI) method: Detection of hip fractures in AP pelvis plain radiographs by majority voting using a multi-center dataset.
    Beyaz S; Yayli SB; Kılıc E; Doktur U
    Digit Health; 2023; 9():20552076231216549. PubMed ID: 38033522
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Clinical application of artificial intelligence-assisted diagnosis using anteroposterior pelvic radiographs in children with developmental dysplasia of the hip.
    Zhang SC; Sun J; Liu CB; Fang JH; Xie HT; Ning B
    Bone Joint J; 2020 Nov; 102-B(11):1574-1581. PubMed ID: 33135455
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep Learning-Based Cataract Detection and Grading from Slit-Lamp and Retro-Illumination Photographs: Model Development and Validation Study.
    Son KY; Ko J; Kim E; Lee SY; Kim MJ; Han J; Shin E; Chung TY; Lim DH
    Ophthalmol Sci; 2022 Jun; 2(2):100147. PubMed ID: 36249697
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.