Transfer Learning-Based Semi-Supervised Generative Adversarial Network for Malaria Classification
Malaria is a lethal disease responsible for thousands of deaths worldwide every year. Manual methods of malaria diagnosis are timeconsuming that require a great deal of human expertise and efforts. Computerbased automated diagnosis of diseases is progressively becoming popular. Although deep learnin...
Saved in:
Main Authors: | Amin, I., Hassan, S., Belhaouari, S.B., Azam, M.H. |
---|---|
Format: | Article |
Published: |
2023
|
Online Access: | http://scholars.utp.edu.my/id/eprint/34294/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145346928&doi=10.32604%2fcmc.2023.033860&partnerID=40&md5=5af709176d85f55aca1e201e3a3d4382 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Semi-Supervised Learning for limited medical data using Generative Adversarial Network and Transfer Learning
by: Amin, I., et al.
Published: (2020) -
Abnormal Transactions Detection In The Ethereum Network Using Semi-Supervised Generative Adversarial Networks
by: Mahmoud Al-Emari, Salam Radi
Published: (2022) -
Enhanced Hyper-Parameter of Semi-Supervised Generative Adversarial Networks Based on Sine Cosine Algorithm for Multimedia Datasets
by: Al-Ragehi, Anas Abdo Saleh
Published: (2022) -
Facial expression transfer using generative adversarial network : a review
by: Mat Noor, Noor Adibah Najihah, et al.
Published: (2020) -
Deep convolutional generative adversarial networks for imbalance medical image classification.
by: Ismail, Amelia Ritahani, et al.
Published: (2023)