Generative deep belief model for improved medical image segmentation

HIGHLIGHTS

• who: Prasanalakshmi Balaji from the Department of Computer, King Khalid University, Saudi Arabia have published the research: Generative Deep Belief Model for Improved Medical Image Segmentation, in the Journal: (JOURNAL)
• what: In this research, the main aim is to identify an accurate diagnosis of tumors from the human body using the medical image segmentation approach. To overcome these challenges, this research designs a new image segmentation framework with different major components. This work proposes an optimized deep learning framework consisting of deep belief and heap optimization that achieves state-of-the-art segmentation performances while . . .
  

   

  

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

  Thanks :)

  Username or E-mail:

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