Dec 4, 2022 · In this paper, we present a method to generate brain tumor MRI images using generative adversarial networks. We have utilized StyleGAN2 with ADA ...
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Feb 29, 2024 · Here we comprehensively evaluate four 2D GANs (progressive GAN, StyleGAN 1–3) and a 2D diffusion model for generating brain tumor images and ...
Brain Tumor Synthetic Data Generation with Adaptive StyleGANs ... Furthermore, the model can generate high-quality synthetic brain MRI with a tumor that can limit ...
Jan 22, 2024 · This synthetic data can act as additional training input for deep neural networks, thus making domain tasks with limited data more feasible. In ...
Missing: StyleGANs. | Show results with:StyleGANs.
(2020) attempted to address the issue of data scarcity by using a CycleGAN to transfer the style of MR images to brain tumour segmentation masks, and then ...
Missing: StyleGANs. | Show results with:StyleGANs.
Each row represents one type of tumor. from publication: Brain Tumor Synthetic Data Generation with Adaptive StyleGANs | Generative models have been very ...
We propose an approach to generate synthetic brain tumor data using StyleGAN3, a GAN model. Our objective is to explore the impact of varying gamma values and ...
Here, we therefore comprehensively evaluate four GANs (progressive GAN, StyleGAN 1-3) and a diffusion model for the task of brain tumor segmentation (using two ...
Dec 14, 2023 · Gliomas observed in medical images require expert neuro-radiologist evaluation for treatment planning and monitoring, motivating development ...
Missing: StyleGANs. | Show results with:StyleGANs.
