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Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 10837-10857 of 14,697 articles

Augmented Intelligence for Multimodal Virtual Biopsy in Breast Cancer Using Generative Artificial Intelligence

Full-Field Digital Mammography (FFDM) is the primary imaging modality for routine breast cancer sc...

Jan 2025 http://arxiv.org/abs/2501.19176v1

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers

Whole Slide Imaging (WSI), which involves high-resolution digital scans of pathology slides, has b...

Jan 2025 http://arxiv.org/abs/2501.19048v1

Pitfalls of defacing whole-head MRI: re-identification risk with diffusion models and compromised research potential

Defacing is often applied to head magnetic resonance image (MRI) datasets prior to public release ...

Jan 2025 http://arxiv.org/abs/2501.18834v1

Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach

Breast cancer screening plays a pivotal role in early detection and subsequent effective managemen...

Jan 2025 http://arxiv.org/abs/2502.06800v1

Distillation-Driven Diffusion Model for Multi-Scale MRI Super-Resolution: Make 1.5T MRI Great Again

Magnetic Resonance Imaging (MRI) offers critical insights into microstructural details, however, t...

Jan 2025 http://arxiv.org/abs/2501.18736v1

Cracks in concrete

Finding and properly segmenting cracks in images of concrete is a challenging task. Cracks are thi...

Jan 2025 http://arxiv.org/abs/2501.18376v1

CodeBrain: Imputing Any Brain MRI via Modality- and Instance-Specific Codes

Unified MRI imputation, which can adapt to diverse imputation scenarios, is highly desirable as it...

Jan 2025 http://arxiv.org/abs/2501.18328v2

Influence of High-Performance Image-to-Image Translation Networks on Clinical Visual Assessment and Outcome Prediction: Utilizing Ultrasound to MRI Translation in Prostate Cancer

Purpose: This study examines the core traits of image-to-image translation (I2I) networks, focusin...

Jan 2025 http://arxiv.org/abs/2501.18109v1

Distilling Knowledge for Designing Computational Imaging Systems

Designing the physical encoder is crucial for accurate image reconstruction in computational imagi...

Jan 2025 http://arxiv.org/abs/2501.17898v1

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning

Gliomas are the most common primary tumors of the central nervous system. Multimodal MRI is widely...

Jan 2025 http://arxiv.org/abs/2501.17758v1

Segmentation-Aware Generative Reinforcement Network (GRN) for Tissue Layer Segmentation in 3-D Ultrasound Images for Chronic Low-back Pain (cLBP) Assessment

We introduce a novel segmentation-aware joint training framework called generative reinforcement n...

Jan 2025 http://arxiv.org/abs/2501.17690v2

Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios

Mammographic screening is an effective method for detecting breast cancer, facilitating early diag...

Jan 2025 http://arxiv.org/abs/2501.17570v1

An Exceptional Dataset For Rare Pancreatic Tumor Segmentation

Pancreatic NEuroendocrine Tumors (pNETs) are very rare endocrine neoplasms that account for less t...

Jan 2025 http://arxiv.org/abs/2501.17555v1

Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application

This work studies the relationship between Contrastive Learning and Domain Adaptation from a theor...

Jan 2025 http://arxiv.org/abs/2502.00052v1

A two-stage dual-task learning strategy for early prediction of pathological complete response to neoadjuvant chemotherapy for breast cancer using dynamic contrast-enhanced magnetic resonance images

Rationale and Objectives: Early prediction of pathological complete response (pCR) can facilitate ...

Jan 2025 http://arxiv.org/abs/2502.00051v1

MR imaging in the low-field: Leveraging the power of machine learning

Recent innovations in Magnetic Resonance Imaging (MRI) hardware and software have reignited intere...

Jan 2025 http://arxiv.org/abs/2501.17211v1

Three-Dimensional Diffusion-Weighted Multi-Slab MRI With Slice Profile Compensation Using Deep Energy Model

Three-dimensional (3D) multi-slab acquisition is a technique frequently employed in high-resolutio...

Jan 2025 http://arxiv.org/abs/2501.17152v1

Radiologist-in-the-Loop Self-Training for Generalizable CT Metal Artifact Reduction

Metal artifacts in computed tomography (CT) images can significantly degrade image quality and imp...

Jan 2025 http://arxiv.org/abs/2501.15610v1

Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge

Breast cancer is one of the most common causes of death among women worldwide. Early detection hel...

Jan 2025 http://arxiv.org/abs/2501.15588v1

Comparative clinical evaluation of "memory-efficient" synthetic 3d generative adversarial networks (gan) head-to-head to state of art: results on computed tomography of the chest

Generative Adversarial Networks (GANs) are increasingly used to generate synthetic medical images,...

Jan 2025 http://arxiv.org/abs/2501.15572v3

Enhancing Fetal Plane Classification Accuracy with Data Augmentation Using Diffusion Models

Ultrasound imaging is widely used in medical diagnosis, especially for fetal health assessment. Ho...

Jan 2025 http://arxiv.org/abs/2501.15248v1