Article

Enhancing Radiographic Diagnosis: CycleGAN-based methods for reducing cast shadow artifacts in wrist radiographs

2024-10-17

Abstract excerpt

<h4>Objective</h4> We extend existing techniques by using generative adversarial network (GAN) models to reduce the appearance of cast shadows in radiographs across various age groups. <h4>Materials and Methods</h4> We retrospectively collected 12000 adult and pediatric wrist radiographs, evenly divided between those with and without casts. The test subset consisted of 100 radiographs with cast and 100 without cas...

Topics

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

Identifiers and source

Literature Corpus work: 66e0bd2e-3bd5-577a-a38a-c78b98091fe8
DOI: 10.1101/2024.10.15.24315508

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Enhancing Radiographic Diagnosis: CycleGAN-based methods for reducing cast shadow artifacts in wrist radiographsDOI 10.1101/2024.10.15.24315508Read

Enhancing fracture detection in wrist radiographs via paired synthetic data generationSemantic proximity Read

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

Pano-GAN: A Generative Model for Panoramic Dental RadiographsSemantic proximity Read

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

Intraoral Image Generation by Progressive Growing of Generative Adversarial Network and Evaluation of Generated Image Quality by DentistsSemantic proximity Read

Emerging Challenges of AI for Biomedical Image Analysis: A CBCT image noise reduction method based on cGANSemantic proximity Read

Performance of a Self-Supervised Pretrained Neural Network for Orthopedic Radiograph ClassificationSemantic proximity Read

Synthetic 3D Spinal Vertebrae Reconstruction from Biplanar X-rays Utilizing Generative Adversarial NetworksSemantic proximity Read

CT-to-MRI Synthesis with Dual CycleGAN: Advancing Radiotherapy Planning in Brain Glioblastoma MultiformSemantic proximity Read

Multimodal Generative AI in Diagnostics: Bridging Medical Imaging and Clinical ReasoningSemantic proximity Read

A Novel Deep Learning Model, RDB CycleGAN-CBAM for Low-Dose CT Image DenoisingSemantic proximity Read

Data Augmentation Using Generative Adversarial Networks (GANs) For GAN-Based Detection Of Pneumonia And COVID-19 In Chest X-Ray ImagesSemantic proximity Read