Classification of gastric lesions using gabor block local binary patterns

HIGHLIGHTS

  • who: Muhammad Tahir from the College of Computing and Informatics, Saudi Electronic University, Riyadh, Saudi Arabia have published the research: Classification of Gastric Lesions Using Gabor Block Local Binary Patterns, in the Journal: (JOURNAL)
  • what: The authors investigate the capabilities of a shallow Convolutional Neural_Network (CNN) architecture in exploiting the GBLBP feature maps for the classification of images from an underlying imaging scenario. The aim of designing a CAD system is to be able to raise an alarm on any anomaly that is detected by the system. Given this, the authors aim to design a . . .

     

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