Radiology

Radiology

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

14,451 articles

Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 5251-5271 of 14,451 articles

Auto-Segmentation and Classification of Glioma Tumors with the Goals of Treatment Response Assessment Using Deep Learning Based on Magnetic Resonance Imaging.

Glioma is the most common primary intracranial neoplasm in adults. Radiotherapy is a treatment appro...

Jul 2023 37458971

Unsupervised abnormality detection in neonatal MRI brain scans using deep learning.

Analysis of 3D medical imaging data has been a large topic of focus in the area of Machine Learning/...

Jul 2023 37460615

Deep-learning visualization enhancement method for optical coherence tomography angiography in dermatology.

Optical coherence tomography angiography (OCTA) in dermatology usually suffers from low image qualit...

Jul 2023 37289020

Deep learning for artery-vein classification in optical coherence tomography angiography.

Major retinopathies can differentially impact the arteries and veins. Traditional fundus photography...

Jul 2023 37452729

An unsupervised two-step training framework for low-dose computed tomography denoising.

BACKGROUND: Although low-dose computed tomography (CT) imaging has been more widely adopted in clini...

Jul 2023 37432026

Automated detection and segmentation of pulmonary embolisms on computed tomography pulmonary angiography (CTPA) using deep learning but without manual outlining.

We present a novel computer algorithm to automatically detect and segment pulmonary embolisms (PEs) ...

Jul 2023 37482032

Machine Learning Classification of Body Part, Imaging Axis, and Intravenous Contrast Enhancement on CT Imaging.

The development and evaluation of machine learning models that automatically identify the body part...

Jul 2023 37439250

Development of a novel combined nomogram integrating deep-learning-assisted CT texture and clinical-radiological features to predict the invasiveness of clinical stage IA part-solid lung adenocarcinoma: a multicentre study.

AIM: To develop a novel combined nomogram based on deep-learning-assisted computed tomography (CT) t...

Jul 2023 37487842

Clinical Applications, Challenges, and Recommendations for Artificial Intelligence in Musculoskeletal and Soft-Tissue Ultrasound: Expert Panel Narrative Review.

Artificial intelligence (AI) is increasingly used in clinical practice for musculoskeletal imaging t...

Jul 2023 37436032

Diagnostic radiology and its future: what do clinicians need and think?

OBJECTIVE: To investigate the view of clinicians on diagnostic radiology and its future.

Jul 2023 37436504

Multi-institutional PET/CT image segmentation using federated deep transformer learning.

BACKGROUND AND OBJECTIVE: Generalizable and trustworthy deep learning models for PET/CT image segmen...

Jul 2023 37506602

PhysVENeT: a physiologically-informed deep learning-based framework for the synthesis of 3D hyperpolarized gas MRI ventilation.

Functional lung imaging modalities such as hyperpolarized gas MRI ventilation enable visualization a...

Jul 2023 37438406

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Auto-Segmentation and Classification of Glioma Tumors with the Goals of Treatment Response Assessment Using Deep Learning Based on Magnetic Resonance Imaging.

Unsupervised abnormality detection in neonatal MRI brain scans using deep learning.

Deep-learning visualization enhancement method for optical coherence tomography angiography in dermatology.

Deep learning for artery-vein classification in optical coherence tomography angiography.

An unsupervised two-step training framework for low-dose computed tomography denoising.

Automated detection and segmentation of pulmonary embolisms on computed tomography pulmonary angiography (CTPA) using deep learning but without manual outlining.

Machine Learning Classification of Body Part, Imaging Axis, and Intravenous Contrast Enhancement on CT Imaging.

Development of a novel combined nomogram integrating deep-learning-assisted CT texture and clinical-radiological features to predict the invasiveness of clinical stage IA part-solid lung adenocarcinoma: a multicentre study.

Clinical Applications, Challenges, and Recommendations for Artificial Intelligence in Musculoskeletal and Soft-Tissue Ultrasound: Expert Panel Narrative Review.

Diagnostic radiology and its future: what do clinicians need and think?

Multi-institutional PET/CT image segmentation using federated deep transformer learning.

PhysVENeT: a physiologically-informed deep learning-based framework for the synthesis of 3D hyperpolarized gas MRI ventilation.

Improving image quality with super-resolution deep-learning-based reconstruction in coronary CT angiography.

Transfer-learning is a key ingredient to fast deep learning-based 4D liver MRI reconstruction.

Lumbar Spinal Canal Segmentation in Cases with Lumbar Stenosis Using Deep-U-Net Ensembles.

Use of artificial intelligence and deep learning in fetal ultrasound imaging.

Novel deep learning method for coronary artery tortuosity detection through coronary angiography.

Deep learning-based radiomic nomograms for predicting Ki67 expression in prostate cancer.

Deep learning in neuroimaging of epilepsy.

Automated fundus ultrasound image classification based on siamese convolutional neural networks with multi-attention.

DeepSeg: Deep Segmental Denoising Neural Network for Seismic Data.

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