As the share of GAN-generated brain MRI images in training data rises, CNN tumor classification accuracy falls, with a small 10% synthetic addition giving the best 95.2% accuracy.
Computers in Biology and Medicine111, 103345 (2019)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Proportional Sensitivity in Generative Adversarial Network (GAN)-Augmented Brain Tumor Classification Using Convolutional Neural Network
As the share of GAN-generated brain MRI images in training data rises, CNN tumor classification accuracy falls, with a small 10% synthetic addition giving the best 95.2% accuracy.