Radiology

Latest AI and machine learning research in radiology for healthcare professionals.

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Programmable ultrasound-mediated swarms manipulation of bacteria-red blood cell microrobots for tumor-specific thrombosis and robust photothermal therapy.

Despite the excellent advantages of biomicrorobots, such as autonomous navigation and targeting actu...

Dec 2024 39709244
Combination of deep learning reconstruction and quantification for dynamic contrast-enhanced (DCE) MRI.

Dynamic contrast-enhanced (DCE) MRI is an important imaging tool for evaluating tumor vascularity th...

Dec 2024 39710009
Rapid detection of microplastics in chicken feed based on near infrared spectroscopy and machine learning algorithm.

The main objective of this study was to evaluate the potential of near infrared (NIR) spectroscopy a...

Dec 2024 39733534
Machine Learning Recognizes Stages of Parkinson's Disease Using Magnetic Resonance Imaging.

Neurodegenerative diseases (NDs), such as Alzheimer's disease (AD) and Parkinson's disease (PD), are...

Dec 2024 39771887
Evaluation of a deep learning prostate cancer detection system on biparametric MRI against radiological reading.

OBJECTIVES: This study aims to evaluate a deep learning pipeline for detecting clinically significan...

Dec 2024 39699671
Reliability of post-contrast deep learning-based highly accelerated cardiac cine MRI for the assessment of ventricular function.

OBJECTIVE: The total examination time can be reduced if high-quality two-dimensional (2D) cine image...

Dec 2024 39708928
Optimizing convolutional neural networks for Chronic Obstructive Pulmonary Disease detection in clinical computed tomography imaging.

We aim to optimize the binary detection of Chronic Obstructive Pulmonary Disease (COPD) based on emp...

Dec 2024 39705795
Generative Adversarial Network Based Contrast Enhancement: Synthetic Contrast Brain Magnetic Resonance Imaging.

RATIONALE AND OBJECTIVES: Magnetic resonance imaging (MRI) is a vital tool for diagnosing neurologic...

Dec 2024 39694785
Quantitative analysis of deep learning reconstruction in CT angiography: Enhancing CNR and reducing dose.

BACKGROUND: Computed tomography angiography (CTA) provides significant information on image quality ...

Dec 2024 39973777
Leveraging transfer learning-driven convolutional neural network-based semantic segmentation model for medical image analysis using MRI images.

Recognition and segmentation of brain tumours (BT) using MR images are valuable and tedious processe...

Dec 2024 39695183
Segmentation for mammography classification utilizing deep convolutional neural network.

BACKGROUND: Mammography for the diagnosis of early breast cancer (BC) relies heavily on the identifi...

Dec 2024 39696014
Novel neural network classification of maternal fetal ultrasound planes through optimized feature selection.

Ultrasound (US) imaging is an essential diagnostic technique in prenatal care, enabling enhanced sur...

Dec 2024 39696025
Reduced-dose deep learning iterative reconstruction for abdominal computed tomography with low tube voltage and tube current.

BACKGROUND: The low tube-voltage technique (e.g., 80 kV) can efficiently reduce the radiation dose a...

Dec 2024 39696218
Image Synthesis in Nuclear Medicine Imaging with Deep Learning: A Review.

Nuclear medicine imaging (NMI) is essential for the diagnosis and sensing of various diseases; howev...

Dec 2024 39771804
A deep learning method for total-body dynamic PET imaging with dual-time-window protocols.

PURPOSE: Prolonged scanning durations are one of the primary barriers to the widespread clinical ado...

Dec 2024 39688700
Attention-based Fusion Network for Breast Cancer Segmentation and Classification Using Multi-modal Ultrasound Images.

OBJECTIVE: Breast cancer is one of the most commonly occurring cancers in women. Thus, early detecti...

Dec 2024 39694743
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