This paper introduces a semi-supervised technique for detection of brain lesion from MRI using Generative Adversarial Networks (GANs). GANs comprises of a�...
No information is available for this page. � Learn why
GANs can glean and analyze patterns in high-dimensional, multi-modal imaging datasets, detecting signs of neurodegenerative processes and underlying pathology�...
People also ask
What is generative AI for brain imaging?
What is generative adversarial networks in neuroscience?
What is the role of generative adversarial networks in brain MRI?
What are generative adversarial networks used for?
Feb 24, 2017 � In this paper, we introduce a semi-supervised technique using Generative Adversarial Network for segmentation of brain lesion from MR images.
Jun 4, 2022 � Generative adversarial networks (GANs) showed a lot of potential to generate synthetic MRI data that can capture the distribution of real MRI.
Feb 16, 2024 � GANs consist of two competing neural networks: the generator and the discriminator. The generator creates the images, while the discriminator�...
Jun 1, 2022 � GAN models have yielded better outcomes for both generation and segmentation tasks on brain tumor scan images in several works performed�...
Missing: lesion | Show results with:lesion
Jul 19, 2024 � General adversarial neural networks may be used in generating artificial intelligence–based enhancement of tumors in brain imaging—this can�...
Oct 13, 2024 � ... This type of generative method for medical imaging can drastically reduce the time and cost of obtaining data if the quality of the�...
Oct 30, 2023 � In this study, GAN is utilized as a classification network to detect and segment of 3D MRI images. The 3D GAN network model provides dense connectivity.
