This paper introduces a semi-supervised technique for detection of brain lesion from MRI using Generative Adversarial Networks (GANs). GANs comprises of a�...
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GANs can glean and analyze patterns in high-dimensional, multi-modal imaging datasets, detecting signs of neurodegenerative processes and underlying pathology�...
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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�...
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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.