Article

Automated Thyroid Nodule Classification in Ultrasound Imaging Using a Hybrid Vision Transformer and Wasserstein GAN with Gradient Penalty

2025-08-04

Abstract excerpt

<title>Abstract</title> <p>This study introduces an innovative hybrid model that combines the Vision Transformer (ViT) and Wasserstein Generative Adversarial Networks with Gradient Penalty (WGAN-GP) to enhance the accuracy and robustness of thyroid nodule detection. The Vision Transformer model leverages its powerful attention mechanism to capture global contextual information from ultrasound images. At the same...

Topics

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

Identifiers and source

Literature Corpus work: 201816fe-8c30-5482-a658-da5562f0b112
DOI: 10.21203/rs.3.rs-7120864/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Automated Thyroid Nodule Classification in Ultrasound Imaging Using a Hybrid Vision Transformer and Wasserstein GAN with Gradient PenaltyDOI 10.21203/rs.3.rs-7120864/v1Read

Synthetic Ultrasound Image Generation for Breast Cancer Diagnosis Using cVAE-WGAN Models: An Approach Based on Generative Artificial IntelligenceSemantic proximity Read

UltraGANet: A Class-Conditional GAN Framework for Breast Tumor Classification in Ultrasound ImagingSemantic proximity Read

Transformer-Enhanced Generative Adversarial Networks for Improving MR Image Quality in Prostate ImagingSemantic proximity Read

A Unified Vision Transformer and Convolutional Neural Network Framework for Multi-Domain Cancer ClassificationSemantic proximity Read

ThyroNet-X4 Genesis: An Advanced Deep Learning Model for Auxiliary Diagnosis of Thyroid Nodules' MalignancySemantic proximity Read

Histopathological Domain Adaptation with Generative Adversarial Networks Bridging the Domain Gap Between Thyroid Cancer Histopathology DatasetsSemantic proximity Read

Synthetic Genitourinary Image Synthesis via Generative Adversarial Networks: Enhancing AI Diagnostic PrecisionSemantic proximity Read

GS-OCMXM: Towards Parallel and GPU Accelerated Computing on GS-Based Multi-Cross-Modality Learning for Accurate Segmentation of Ultrasonography Thyroid Nodule Cancer Detection with Limited LabelsSemantic proximity Read

Ultrasound Image Analysis with Vision Transformers – ReviewSemantic proximity Read

A Foundational Generative Model for Breast Ultrasound Image AnalysisSemantic proximity Read

Contrast-enhanced Liver MR Synthesis using Gradient Regularized Multi-Modal Multi-Discrimination Sparse Attention Fusion GANSemantic proximity Read

Generative Adversarial Networks (GANs) for Medical Image Synthesis and Data AugmentationSemantic proximity Read