Enhanced ulcer detection using gan-augmented image processing and convolutional neural networks

HIGHLIGHTS

• What: The resolve the current issues, this study focus: a. This study explores different types of ulcers using a large database of WCE images. This work seeks to advance automated Corneal Ulcer classification, aiding ophthalmologists in effective diagnosis and treatment.
• Who: BISHAL from the (9667%), demonstrating its effectiveness. Barua et_al (2024) investigated multi-class classification of Corneal Ulcers using deep learning methods on the SUSTech-SYSU dataset, comprising , images from Sun Yat-sen University`s Zhongshan Ophthalmic Center. Post fluorescein staining, the images are used to enhance CNN models for ECU image classification. A customized . . .
  

   

  

  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.