Selected article for: "image system and International license"
Author: Aboul Ella Hassanien; Lamia Nabil Mahdy; Kadry Ali Ezzat; Haytham H. Elmousalami; Hassan Aboul Ella
Title: Automatic X-ray COVID-19 Lung Image Classification System based on Multi-Level Thresholding and Support Vector Machine
  • Document date: 2020_4_6
    • ID: 45dpoepu_10
    Snippet: Through detecting and analyzing the previously mentioned early lung affection patterns present in the radiological images. This paper presents automatic x-ray COVID-19 lung image classification system based on multi-level thresholding and supported vector machine. The study is usually recommended for the early detection of COVID-19 infected patients using X-ray images. The help vector gadget classifies the COVID-19 affected lung X-ray images from.....
    Document: Through detecting and analyzing the previously mentioned early lung affection patterns present in the radiological images. This paper presents automatic x-ray COVID-19 lung image classification system based on multi-level thresholding and supported vector machine. The study is usually recommended for the early detection of COVID-19 infected patients using X-ray images. The help vector gadget classifies the COVID-19 affected lung X-ray images from others through usage of the deep features. The technique is useful for the clinical practitioners for early detection of COVID-19 infected patients. The suggested system . CC-BY-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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