Deep residual learning image recognition model for skin cancer disease detection and classification

HIGHLIGHTS

• who: Jamal Mustafa Al-Tuwaijari and colleagues from the Editors:, University of Anbar, Iraq, Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia have published the paper: Deep Residual Learning Image Recognition Model for Skin Cancer Disease Detection and Classification, in the Journal: (JOURNAL)
• what: Early diagnosis of skin cancer is an important step for its treatment success.
• how: The authors employed three different pre-trained state-of-the-art deep learning models DenseNet121 VGG19 and an improved ResNet152 in classifying a skin image dataset. A deep residual . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.