A novel hybrid convolutional neural network approach for the stomach intestinal early detection cancer subtype classification

HIGHLIGHTS

• who: Stomach Intestinal, Early Detection and Md Ezaz, Ahmed from the College of Computing and Informatics, Saudi Electronic University, Riyadh, Saudi Arabia have published the article: A Novel Hybrid Convolutional Neural Network Approach for the Stomach Intestinal Early Detection Cancer Subtype Classification, in the Journal: Computational Intelligence and Neuroscience of 24/06/2022
• what: As a result, the primary objective is to identify CIN2 and CIN3. The approaches described above still necessitate the use of extra masks or ROI annotations, which necessitate the expenditure of significant resources by a well-trained clinician. The authors propose . . .
  

   

  

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