Showing 121 - 140 results of 862 for search 'S14 (classification)', query time: 0.07s Refine Results
  1. 121

    Erroneous Classification and Coding as a Limitation for Big Data Analyses: Causes and Impacts Illustrated by the Diagnosis of Clavicle Injuries by Robert Raché, Lara-Sophie Claudé, Marcus Vollmer, Lyubomir Haralambiev, Denis Gümbel, Axel Ekkernkamp, Martin Jordan, Stefan Schulz-Drost, Mustafa Sinan Bakir

    Published 2025-01-01
    “…In contrast, 1846 were detected upon review. Initially, 14.4% of cases were coded as medial clavicle fractures, whereas only 5.2% were confirmed. …”
    Get full text
    Article
  2. 122
  3. 123
  4. 124
  5. 125
  6. 126

    A Five-Level Wavelet Decomposition and Dimensional Reduction Approach for Feature Extraction and Classification of MR and CT Scan Images by Varun Srivastava, Ravindra Kumar Purwar

    Published 2017-01-01
    “…This paper presents a two-dimensional wavelet based decomposition algorithm for classification of biomedical images. The two-dimensional wavelet decomposition is done up to five levels for the input images. …”
    Get full text
    Article
  7. 127
  8. 128
  9. 129
  10. 130

    Land Cover and Forest Type Classification by Values of Vegetation Indices and Forest Structure of Tropical Lowland Forests in Central Vietnam by Hung Nguyen Trong, The Dung Nguyen, Martin Kappas

    Published 2020-01-01
    “…This paper aims to (i) optimize the application of multiple bands of satellite images for land cover classification by using random forest algorithms and (ii) assess correlations and regression of vegetation indices of a better-performed land cover classification image with vertical and horizontal structures of tropical lowland forests in Central Vietnam. …”
    Get full text
    Article
  11. 131
  12. 132
  13. 133

    Clastic facies classification using machine learning-based algorithms: A case study from Rawat Basin, Sudan by Anas Mohamed Abaker Babai, Olugbenga Ajayi Ehinola, Omer.I.M. Fadul Abul Gebbayin, Mohammed Abdalla Elsharif Ibrahim

    Published 2025-03-01
    “…The Grid Search model achieved a higher accuracy score of 72.14% during testing. The Extreme Gradient Boosting model had the lowest accuracy score, with only 66.13% for training and 66.12% for testing. …”
    Get full text
    Article
  14. 134
  15. 135
  16. 136
  17. 137
  18. 138

    Return to sports activities following posterior scoliosis correction and instrumented fusion for adolescent idiopathic scoliosis and its correlation to Lenke classification by Tahir Khaleeq, Ibrahim Jaly, Matthew Lea, Devi Prakash Tokala, Neil Davidson, Jayesh Trivedi, Sudarshan Munigangaiah

    Published 2024-12-01
    “…Results: The average age at the time of surgery was 14.81 (11–18) years. There were Lenke 1 (31), Lenke 2 (7), Lenke 3 (12), Lenke 4 (8), Lenke 5 (7), and Lenke 6 (1). …”
    Get full text
    Article
  19. 139
  20. 140