Article

Linear Gaussian Kernel Cycle Generative Adversarial Networks based Transformer Learning for Early-Stage Stroke Prediction with Parkinson and Skin Disease

2026-08-20

Abstract excerpt

<title>Abstract</title> <p>Stroke is the main cause of mortality and long-term disability in the whole world, and therefore, early prediction of the condition is important to enable timely medical care. Recent reports suggest that neuro-related diseases like Parkinson diseases and skin related diseases like skin wrinkles may offer reward valuable information on measuring stroke risk. Nevertheless, the current dee...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: e4f020e5-a4e9-5a06-9e86-f31654b7cd45
DOI: 10.21203/rs.3.rs-9364158/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Linear Gaussian Kernel Cycle Generative Adversarial Networks based Transformer Learning for Early-Stage Stroke Prediction with Parkinson and Skin DiseaseDOI 10.21203/rs.3.rs-9364158/v1Read

Diffused Multi-scale Generative Adversarial Network for low- dose PET images reconstructionSemantic proximity Read

WITHDRAWN: A Hybrid Deep Learning Framework to Predict Alzheimer’s Disease Progression Using Generative Adversarial Networks and Deep Convolutional Neural NetworksSemantic proximity Read

Image-to-image generative adversarial networks for synthesizing perfusion parameter maps from DSC-MR images in cerebrovascular diseaseSemantic proximity Read

Proof-of-principle neural network models for classification, attribution, creation, style-mixing, and morphing of image data for genetic conditionsSemantic proximity Read

Review of Deep Learning Techniques for Neurological Disorders DetectionSemantic proximity Read

Geometric Deep Learning Methods for Improved Generalizability in Medical Computer Vision: Hyperbolic Convolutional Neural Networks in Multi-Modality NeuroimagingSemantic proximity Read

Prediction of Prognosis in Glioblastoma with Radiomics Features extracted by Synthetic MR Image using Cycle-consistent GANSemantic proximity Read

CycleGAN-based Data Augmentation to Improve Generalizability Alzheimer’s Diagnosis using Deep LearningSemantic proximity Read

Unpaired fundus image enhancement based on constrained generative adversarial networksSemantic proximity Read

Edge information preserving generative adversarial network combining Transformer and multi-scale fusion for MRI modality transferSemantic proximity Read

Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial NetworksSemantic proximity Read

Brain MRI Technics Images Translation by Generative Adversarial NetworkSemantic proximity Read