Selected article for: "negative dataset and positive dataset"
Author: Chire, Josimar; Zuniga, Esteban Wilfredo Vilca
Title: Characterization of Covid-19 Dataset using Complex Networks and Image Processing
  • Cord-id: gsc0kwvn
  • Document date: 2020_9_24
    • ID: gsc0kwvn
    Snippet: This paper aims to explore the structure of pattern behind covid-19 dataset. The dataset includes medical images with positive and negative cases. A sample of 100 sample is chosen, 50 per each class. An histogram frequency is calculated to get features using statistical measurements, besides a feature extraction using Grey Level Co-Occurrence Matrix (GLCM). Using both features are build Complex Networks respectively to analyze the adjacency matrices and check the presence of patterns. Initial ex
    Document: This paper aims to explore the structure of pattern behind covid-19 dataset. The dataset includes medical images with positive and negative cases. A sample of 100 sample is chosen, 50 per each class. An histogram frequency is calculated to get features using statistical measurements, besides a feature extraction using Grey Level Co-Occurrence Matrix (GLCM). Using both features are build Complex Networks respectively to analyze the adjacency matrices and check the presence of patterns. Initial experiments introduces the evidence of hidden patterns in the dataset for each class, which are visible using Complex Networks representation.

    Search related documents:
    Co phrase search for related documents
    • adjacency matrix and machine learning: 1