Article

Generative Adversarial Networks Can Create High Quality Artificial Prostate Cancer Magnetic Resonance Images

2022-06-17

Abstract excerpt

<h4>Purpose</h4> Recent integration of open-source data to machine learning models, especially in the medical field, has opened new doors to study disease progression and/or regression. However, the limitation of using medical data for machine learning approaches is the specificity of data to a particular medical condition. In this context, most recent technologies like generative adversarial networks (GAN) could...

Topics

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

Identifiers and source

Literature Corpus work: be664410-5a0e-5064-a47e-554322cede2b
DOI: 10.1101/2022.06.16.496437

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Generative Adversarial Networks Can Create High Quality Artificial Prostate Cancer Magnetic Resonance ImagesDOI 10.1101/2022.06.16.496437Read

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

Automatic Segmentation of Prostate Magnetic Resonance Imaging Using Generative Adversarial NetworksSemantic proximity Read

Synthetic Histology Images for Training AI Models: A Novel Approach to Improve Prostate Cancer DiagnosisSemantic proximity Read

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

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

Deep-Learning-Based Generation of Synthetic High-Resolution MRI from Low-Resolution MRI for Use in Head and Neck Cancer Adaptive RadiotherapySemantic proximity Read

Synthesis of diagnostic quality cancer pathology imagesSemantic proximity Read

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

Achieving Diagnostic-Quality Rapid PSMA PET Across Scanners and Tracers with a Generative Adversarial NetworkSemantic proximity Read

Explainable AI for CNN-based Prostate Tumor Segmentation in Multi-parametric MRI Correlated to Whole Mount HistopathologySemantic proximity Read

A Generative Adversarial Network (GAN)-based Three-dimensional Rectal Cancer Pathological Complete Response Prediction FrameworkSemantic proximity Read

Brain MRI Technics Images Translation by Generative Adversarial NetworkSemantic proximity Read