BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

134 related articles for article (PubMed ID: 36344482)

  • 1. The Diagnosis of Developmental Dysplasia of the Hip From Hip Ultrasonography Images With Deep Learning Methods.
    Atalar H; Üreten K; Tokdemir G; Tolunay T; Çiçeklidağ M; Atik OŞ
    J Pediatr Orthop; 2023 Feb; 43(2):e132-e137. PubMed ID: 36344482
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Diagnosis of Developmental Dysplasia of the Hip by Ultrasound Imaging Using Deep Learning.
    Kinugasa M; Inui A; Satsuma S; Kobayashi D; Sakata R; Morishita M; Komoto I; Kuroda R
    J Pediatr Orthop; 2023 Aug; 43(7):e538-e544. PubMed ID: 37193656
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Application of Accepted Use Criteria for the Treatment of Developmental Dysplasia of the Hip Decreases the Number of Infants Treated With a Pavlik Harness.
    Murphy-Zane MS; Carry PM; Salton RL; Hadley Miller N; Holmes K; Freeman T; Belton M; Kohuth B; Burke D; Georgopoulos G
    J Pediatr Orthop; 2023 Feb; 43(2):e138-e143. PubMed ID: 36376269
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Detection of developmental dysplasia of the hip in X-ray images using deep transfer learning.
    Fraiwan M; Al-Kofahi N; Ibnian A; Hanatleh O
    BMC Med Inform Decis Mak; 2022 Aug; 22(1):216. PubMed ID: 35964072
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Measurement of Pubofemoral Distance in the Diagnosis of Developmental Dysplasia of the Hip: Sensitivity and Specificity.
    Motta GGB; Chiovatto ARS; Chiovatto ED; Duarte ML; de Lourenço AF; Takahashi MS; Rodrigues NVM; Iared W
    J Ultrasound Med; 2022 May; 41(5):1205-1212. PubMed ID: 34405425
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Computer-aided diagnosis of congenital abnormalities of the kidney and urinary tract in children based on ultrasound imaging data by integrating texture image features and deep transfer learning image features.
    Zheng Q; Furth SL; Tasian GE; Fan Y
    J Pediatr Urol; 2019 Feb; 15(1):75.e1-75.e7. PubMed ID: 30473474
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The diagnosis of femoroacetabular impingement can be made on pelvis radiographs using deep learning methods.
    Atalar E; Üreten K; Kanatlı U; Çiçeklidağ M; Kaya İ; Vural A; Maraş Y
    Jt Dis Relat Surg; 2023 Apr; 34(2):298-304. PubMed ID: 37462632
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Diagnostic accuracy of a deep learning model using YOLOv5 for detecting developmental dysplasia of the hip on radiography images.
    Den H; Ito J; Kokaze A
    Sci Rep; 2023 Apr; 13(1):6693. PubMed ID: 37095189
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Statistical Shape Modeling of US Images to Predict Hip Dysplasia Development in Infants.
    Bonsel JM; Gielis WP; Pollet V; Weinans HH; Sakkers RJB
    Radiology; 2022 May; 303(2):425-432. PubMed ID: 35076302
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Potential for change in US diagnosis of hip dysplasia solely caused by changes in probe orientation: patterns of alpha-angle variation revealed by using three-dimensional US.
    Jaremko JL; Mabee M; Swami VG; Jamieson L; Chow K; Thompson RB
    Radiology; 2014 Dec; 273(3):870-8. PubMed ID: 24964047
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Diagnostic Performance of a New Convolutional Neural Network Algorithm for Detecting Developmental Dysplasia of the Hip on Anteroposterior Radiographs.
    Park HS; Jeon K; Cho YJ; Kim SW; Lee SB; Choi G; Lee S; Choi YH; Cheon JE; Kim WS; Ryu YJ; Hwang JY
    Korean J Radiol; 2021 Apr; 22(4):612-623. PubMed ID: 33289354
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Sonography-based Decision Model for Use in Treatment of Developmental Dysplasia of the Hip.
    Chen BP; Harcke HT; Rogers KJ; Bowen JR
    J Surg Orthop Adv; 2023; 32(1):47-54. PubMed ID: 37185078
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep learning methods in the diagnosis of sacroiliitis from plain pelvic radiographs.
    Üreten K; Maraş Y; Duran S; Gök K
    Mod Rheumatol; 2023 Jan; 33(1):202-206. PubMed ID: 34888699
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Graf Type-IV Hips Have a Higher Risk of Residual Acetabular Dysplasia at 1 Year of Age Following Successful Pavlik Harness Treatment for Developmental Hip Dysplasia.
    Novais EN; Sanders J; Kestel LA; Carry PM; Meyers ML
    J Pediatr Orthop; 2018; 38(10):498-502. PubMed ID: 27662383
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Success of Pavlik Harness Treatment Decreases in Patients ≥ 4 Months and in Ultrasonographically Dislocated Hips in Developmental Dysplasia of the Hip.
    Ömeroğlu H; Köse N; Akceylan A
    Clin Orthop Relat Res; 2016 May; 474(5):1146-52. PubMed ID: 26047647
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comparison between Graf method and pubo-femoral distance in neutral and flexion positions to diagnose developmental dysplasia of the hip.
    Teixeira SR; Dalto VF; Maranho DA; Zoghbi-Neto OS; Volpon JB; Nogueira-Barbosa MH
    Eur J Radiol; 2015 Feb; 84(2):301-6. PubMed ID: 25476594
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep transfer learning can be used for the detection of hip joints in pelvis radiographs and the classification of their hip dysplasia status.
    McEvoy FJ; Proschowsky HF; Müller AV; Moorman L; Bender-Koch J; Svalastoga EL; Frellsen J; Nielsen DH
    Vet Radiol Ultrasound; 2021 Jul; 62(4):387-393. PubMed ID: 33818829
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [Development of Hip Joints Treated Non-operatively for Developmental Dysplasia of the Hip by Overhead Traction - Clinical and Radiographic Assessment after Reaching Skeletal Maturity].
    Valtr O; Šponer P; Pellar D; KuČera T
    Acta Chir Orthop Traumatol Cech; 2020; 87(6):381-386. PubMed ID: 33536116
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep Convolutional Neural Network-Based Automatic Classification of Neonatal Hip Ultrasound Images: A Novel Data Augmentation Approach with Speckle Noise Reduction.
    Sezer A; Sezer HB
    Ultrasound Med Biol; 2020 Mar; 46(3):735-749. PubMed ID: 31882168
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.