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May 21, 2024Multidisciplinary Science Journal

Enhancing COVID-19 diagnosis and severity evaluation through machine learning algorithms applied to ct images

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Authors

YPYogendra Narayan PrajapatiInstitute of Management TechnologyMSManish SharmaSiemens (Germany)FAFarooque AzamJagran Lakecity University

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Cite This Study

Prajapati et al. (2024) studied this question.

synapsesocial.com/papers/68e69105b6db643587617d47https://doi.org/10.31893/multiscience.2024207
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1 An Efficient and Non-Invasive Approach to Identify and Classify COVID-19 from CT Scan Images using Machine Learning in Combination with Hybrid Texture Features 2024
  2. 2Covid-19 Detection by Machine Learning Using Chest Radiographs2024 · 1 citations
  3. 3Segmentation and measurement of lung pathological changes for COVID-19 diagnosis based on computed tomography2021
  4. 4An Experimental Study for Automatic Detection of COVID-19 from Chest CT Scans. A Comparison through Deep Learning and Support Vector Machine2024 · 2 citations
  5. 5Analysis of CT scans to differentiate COVID-19 from other lung diseases by using Machin learning and preprocessing2024