Comparison of Deep Learning Techniques in Detection of Sickle Cell Disease.

Comparison of Deep Learning Techniques in Detection of Sickle Cell Disease.

Recently, the transfer learning technique has proved to be powerful in enhancing the development of deep learning methods for sickle cell disease (SCD) detection as a complement to the clinical method where a hemoglobin electrophoresis machine is used. This is evidenced by some models and algorithms...

Full description

Saved in:
Bibliographic Details
Main Authors: Mabirizi, Vicent, Kawuma, Simon, Kyarisiima, Addah, Bamutura, David, Atwiine, Barnabas, Nanjebe, Deborah, Oyesigye, Adolf Mukama
Format: Article
Language:en_US
Published: Kabale University 2024
Subjects:
Deep Learning
Techniques
Models
Sickle Cell Disease
Detection
Online Access:http://hdl.handle.net/20.500.12493/2001
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items