Evaluation of Generative Adversarial Networks for High-Resolution Synthetic Image Generation of Circumpapillary Optical Coherence Tomography Images for Glaucoma
Sign Up to like & getrecommendations! Published in 2022 at "JAMA Ophthalmology"
DOI: 10.1001/jamaophthalmol.2022.3375
Abstract: This cross-sectional study assesses whether generative models can synthesize circumpapillary optic nerve head optical coherence tomography (OCT) images of normal and glaucomatous eyes and determines the usability of synthetic images for training deep learning models… read more here.
Keywords: coherence tomography; generative adversarial; optical coherence; evaluation generative ... See more keywords
Cross‐Modality Image Translation of 3 Tesla Magnetic Resonance Imaging to 7 Tesla Using Generative Adversarial Networks
Sign Up to like & getrecommendations! Published in 2025 at "Human Brain Mapping"
DOI: 10.1002/hbm.70246
Abstract: The rapid advancements in magnetic resonance imaging (MRI) technology have precipitated a new paradigm wherein cross‐modality data translation across diverse imaging platforms, field strengths, and different sites is increasingly challenging. This issue is particularly accentuated… read more here.
Keywords: using generative; resonance imaging; magnetic resonance; cross modality ... See more keywords
Lung cancer classification using exponential mean saturation linear unit activation function in various generative adversarial network models
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22719
Abstract: Nowadays, the mortality rate due to lung cancer increases rapidly worldwide as it can be classified only at the later stages. Early classification of lung cancer will help patients to take treatment and decrease the… read more here.
Keywords: network; adversarial network; classification; generative adversarial ... See more keywords
ChromSeg‐P3GAN: A Benchmark Dataset and Pix2Pix Patch Generative Adversarial Network for Chromosome Segmentation
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.70133
Abstract: Chromosome image analysis with automated karyotyping systems (AKS) is crucial for the diagnosis and prognosis of hematologic malignancies and genetic disorders. However, the partial or complete occlusion of nonrigid chromosome structures significantly limits the performance… read more here.
Keywords: loss; segmentation; performance; chromosome ... See more keywords
Generating synthetic CTs from magnetic resonance images using generative adversarial networks
Sign Up to like & getrecommendations! Published in 2018 at "Medical Physics"
DOI: 10.1002/mp.13047
Abstract: PURPOSE While MR-only treatment planning using synthetic CTs (synCTs) offers potential for streamlining clinical workflow, a need exists for an efficient and automated synCT generation in the brain to facilitate near real-time MR-only planning. This… read more here.
Keywords: generative adversarial; adversarial networks; model; synthetic cts ... See more keywords
Multi-sequence MR image-based synthetic CT generation using a generative adversarial network for head and neck MRI-only radiotherapy.
Sign Up to like & getrecommendations! Published in 2020 at "Medical physics"
DOI: 10.1002/mp.14075
Abstract: PURPOSE The purpose of this study is to investigate the effect of different MR sequences on the accuracy of deep learning based synthetic CT (sCT) generation in the complex head and neck region. METHODS Four… read more here.
Keywords: generative adversarial; image; based synthetic; network ... See more keywords
Phase Identification for Dynamic CT enhancements with Generative Adversarial Network.
Sign Up to like & getrecommendations! Published in 2021 at "Medical physics"
DOI: 10.1002/mp.14706
Abstract: PURPOSE Dynamic contrast enhanced computed tomography (CT) is widely used to provide dynamic tissue contrast for diagnostic investigation and vascular identification. However, the phase information of contrast injection is typically recorded manually by technicians, which… read more here.
Keywords: generative adversarial; identification dynamic; network; contrast ... See more keywords
Clinical ultra high resolution CT scans enabled by using a generative adversarial network.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.16172
Abstract: BACKGROUND Ultra-high resolution computed tomography (UHRCT) has shown great potential for the detection of pulmonary diseases. However, UHRCT scanning generally induces increases in scanning time and radiation exposure. Super resolution is a gradually prosperous application… read more here.
Keywords: ultra high; adversarial network; high resolution; generative adversarial ... See more keywords
Unsupervised shape‐and‐texture‐based generative adversarial tuning of pre‐trained networks for carotid segmentation from 3D ultrasound images
Sign Up to like & getrecommendations! Published in 2024 at "Medical Physics"
DOI: 10.1002/mp.17291
Abstract: Vessel‐wall volume and localized three‐dimensional ultrasound (3DUS) metrics are sensitive to the change of carotid atherosclerosis in response to medical/dietary interventions. Manual segmentation of the media‐adventitia boundary (MAB) and lumen‐intima boundary (LIB) required to obtain… read more here.
Keywords: based generative; segmentation; unsupervised shape; shape texture ... See more keywords
Brain tumor classification for combining the advantages of multilayer dense net‐based feature extraction and hyper‐parameters tuned attentive dual residual generative adversarial network classifier using wild horse optimization
Sign Up to like & getrecommendations! Published in 2024 at "NMR in Biomedicine"
DOI: 10.1002/nbm.5246
Abstract: In this manuscript, attentive dual residual generative adversarial network optimized using wild horse optimization algorithm for brain tumor detection (ADRGAN‐WHOA‐BTD) is proposed. Here, the input imageries are gathered using BraTS, RemBRANDT, and Figshare datasets. Initially,… read more here.
Keywords: wild horse; residual generative; generative adversarial; dual residual ... See more keywords
Photo-realistic dehazing via contextual generative adversarial networks
Sign Up to like & getrecommendations! Published in 2020 at "Machine Vision and Applications"
DOI: 10.1007/s00138-020-01082-5
Abstract: Single image dehazing is a challenging task due to its ambiguous nature. In this paper we present a new model based on generative adversarial networks (GANs) for single image dehazing, called as dehazing GAN. In… read more here.
Keywords: generative adversarial; dehazing via; image; realistic dehazing ... See more keywords