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10.1016/j.chaos.2020.110122

http://scihub22266oqcxt.onion/10.1016/j.chaos.2020.110122
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C7357532!7357532!32834634
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suck abstract from ncbi


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pmid32834634      Chaos+Solitons+Fractals 2020 ; 140 (ä): 110122
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  • Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks #MMPMID32834634
  • Toraman S; Alakus TB; Turkoglu I
  • Chaos Solitons Fractals 2020[Nov]; 140 (ä): 110122 PMID32834634show ga
  • ?In this study, unlike CNN architectures, COVID-19 was determined from chest X-ray images with a smaller number of layers.?More COVID-19, pneumonia, and no-findings images were used than in previous studies. This increases the reliability of the system more.?As is known, reducing the size of the image may cause some information in the image to be lost. Given these facts, good classification accuracy has been achieved with capsule networks, even the image size has been reduced to 128 × 128 pixels.
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