Using deep learning with bayesian-gaussian inspired convolutional neural architectural search for cancer recognition and classification from histopathological image frames

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• who: Image, Frames and Okeke, Stephen from the School of Computing and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand Division of Computer Engineering, Dongseo University, Busan, Republic of Korea have published the paper: Using Deep Learning with Bayesian-Gaussian Inspired Convolutional Neural Architectural Search for Cancer Recognition and Classification from Histopathological Image Frames, in the Journal: Journal of Healthcare Engineering of 26/05/2022
• what: The authors propose a neural architectural search model which examines histopathological images to detect the presence of cancer in both lung and colon tissues. Tis is followed by . . .
  

   

  

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