Ai-driven robust kidney and renal mass segmentation and classification on 3d ct images

HIGHLIGHTS

  • who: Jingya Liu et al. from the Department of Electrical Engineering, The City College of New York, New York, NY, USA have published the article: AI-Driven Robust Kidney and Renal Mass Segmentation and Classification on 3D CT Images, in the Journal: Bioengineering 2023, 10, 116. of /2023/
  • what: To reduce the workload of manual segmentation and avoid unnecessary biopsies or surgeries in this paper the authors propose a novel end-toend AI-driven automatic kidney and renal mass diagnosis framework to identify the abnormal areas of the kidney and diagnose the histological subtypes of . . .

     

    Logo ScioWire Beta black

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

    Thanks :)

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

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?