Article

Resource-Aware Conditional Diffusion for CT-to-PET Translation Supporting Rural Oncology Imaging

2026-03-10

Abstract excerpt

Access to positron emission tomography (PET) remains limited in rural and low-resource healthcare settings due to high infrastructure cost and radiotracer logistics. This restricts early oncologic screening in underserved populations. The study proposes a rural-optimized conditional diffusion framework for synthetic PET generation directly from widely available CT scans. The architecture employs a two-stage residu...

Topics

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

Identifiers and source

Literature Corpus work: 3760a365-343e-5de2-aa78-6630c88087c1
DOI: 10.64898/2026.03.09.26347907

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Resource-Aware Conditional Diffusion for CT-to-PET Translation Supporting Rural Oncology ImagingDOI 10.64898/2026.03.09.26347907Read

MuPET (Multiphysics PET): Bridging Computational Mass Transport Physics and Medical Imaging for Synthetic Positron Emission Tomography Data GenerationSemantic proximity Read

HybridNet-XR: Efficient Teacher-Free Self-Supervised Learning for Autonomous Medical Diagnostic Systems in Resource-Constrained EnvironmentsSemantic proximity Read

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

Comparative Evaluation of U-Net-Based Conditioned Diffusion Model and Cycle-GAN for Unpaired CT-MRI Brain Image Synthesis with XAI ValidationSemantic proximity Read

Improving Performance, Robustness, and Fairness of Radiographic AI Models with Finely-Controllable Synthetic DataSemantic proximity Read

AI-Enabled Radiomics and Clinical Decision Support App for Monitoring Brain Metastases Evolution After Gamma Knife RadiosurgerySemantic proximity Read

Domain Shift-Robust Tumor Segmentation Across HospitalsSemantic proximity Read

Benchmarking Deep Learning for NSCLC PET/CT Segmentation on a Histologically Confirmed Vietnamese Dataset: Validation and GeneralizationSemantic proximity Read

Advanced Tumor Segmentation in PET/CT Imaging: A Training Strategy Study with nnU-Net for AutoPET IIISemantic proximity Read

Synthesizing Contrast-Enhanced T1 MR Image Using Multiparametric Sequences and Attention to Brain TumorSemantic proximity Read

Can a Deep Progressive Learning Method Help to Achieve High Image Quality as Total-body PET Imaging?Semantic proximity Read

TCIA Radiology Image Processing for AI and RadiomicsSemantic proximity Read