Platelets Image Classification Through Data Augmentation: A Comparative Study of Traditional Imaging Augmentation and GAN-Based Synthetic Data Generation Techniques Using CNNs

Platelets Image Classification Through Data Augmentation: A Comparative Study of Traditional Imaging Augmentation and GAN-Based Synthetic Data Generation Techniques Using CNNs

Platelets play a crucial role in diagnosing and detecting various diseases, influencing the progression of conditions and guiding treatment options. Accurate identification and classification of platelets are essential for these purposes. The present study aims to create a synthetic database of plat...

Full description

Saved in:
Bibliographic Details
Main Authors: Itunuoluwa Abidoye, Frances Ikeji, Charlie A. Coupland, Simon D. J. Calaminus, Nick Sander, Eva Sousa
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Journal of Imaging
Subjects:
platelets
data augmentation
GAN
WGAN-GP
CNN
transfer learning
Online Access:https://www.mdpi.com/2313-433X/11/6/183
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2313-433X/11/6/183

Similar Items