Mobilenet-svm: a lightweight deep transfer learning model to diagnose bch scans for iomt-based imaging sensors

HIGHLIGHTS

• who: Roseline Oluwaseun Ogundokun and collaborators from the Department of Multimedia Engineering, Kaunas University of Technology, Kaunas, Lithuania Department of Computer Science, Landmark University, Omu Aran, Kwara, Nigeria have published the research: MobileNet-SVM: A Lightweight Deep Transfer Learning Model to Diagnose BCH Scans for IoMT-Based Imaging Sensors, in the Journal: Sensors 2022, 22, x FOR PEER REVIEW of /2022/
• what: The aim of this study is to create a lightweight deep transfer learning (DTL) model suited for BCH scan examination and has a good level of accuracy. BC is the most widespread malignancy . . .
  

   

  

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