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Radiology Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 568-588 of 5,498 articles

Automatic differentiation of thyroid scintigram by deep convolutional neural network: a dual center study.

BACKGROUND: Tc-pertechnetate thyroid scintigraphy is a valid complementary avenue for evaluating thy...

Nov 2021 PMID: 34823482

Deep learning-based automatic delineation of anal cancer gross tumour volume: a multimodality comparison of CT, PET and MRI.

BACKGROUND: Accurate target volume delineation is a prerequisite for high-precision radiotherapy. Ho...

Nov 2021 PMID: 34783610

Deep learning-based denoising of low-dose SPECT myocardial perfusion images: quantitative assessment and clinical performance.

PURPOSE: This work was set out to investigate the feasibility of dose reduction in SPECT myocardial ...

Nov 2021 PMID: 34778929

Deep-learning image-reconstruction algorithm for dual-energy CT angiography with reduced iodine dose: preliminary results.

AIM: To evaluate the computed tomography (CT) attenuation values, background noise, arterial depicti...

Nov 2021 PMID: 34782114

Leveraging deep neural networks to improve numerical and perceptual image quality in low-dose preclinical PET imaging.

The amount of radiotracer injected into laboratory animals is still the most daunting challenge faci...

Nov 2021 PMID: 34784505

Application of Deep Learning Models for Automated Identification of Parkinson's Disease: A Review (2011-2021).

Parkinson's disease (PD) is the second most common neurodegenerative disorder affecting over 6 milli...

Oct 2021 PMID: 34770340

Post-reconstruction attenuation correction for SPECT myocardium perfusion imaging facilitated by deep learning-based attenuation map generation.

BACKGROUND: Attenuation correction can improve the quantitative accuracy of single-photon emission c...

Oct 2021 PMID: 34671940

Performance evaluation in [18F]Florbetaben brain PET images classification using 3D Convolutional Neural Network.

High accuracy has been reported in deep learning classification for amyloid brain scans, an importan...

Oct 2021 PMID: 34669702

Comparing the Prognostic Value of Stress Myocardial Perfusion Imaging by Conventional and Cadmium-Zinc Telluride Single-Photon Emission Computed Tomography through a Machine Learning Approach.

We compared the prognostic value of myocardial perfusion imaging (MPI) by conventional- (C-) single-...

Oct 2021 PMID: 34697554

Feasibility evaluation of PET scan-time reduction for diagnosing amyloid-β levels in Alzheimer's disease patients using a deep-learning-based denoising algorithm.

PURPOSE: To shorten positron emission tomography (PET) scanning time in diagnosing amyloid-β levels ...

Oct 2021 PMID: 34655898

Prediction of post-stroke cognitive impairment using brain FDG PET: deep learning-based approach.

PURPOSE: Post-stroke cognitive impairment can affect up to one third of stroke survivors. Since cogn...

Oct 2021 PMID: 34599654

A Large-Scale Fully Annotated Low-Cost Microscopy Image Dataset for Deep Learning Framework.

This work presents a large-scale three-fold annotated, low-cost microscopy image dataset of potato t...

Sep 2021 PMID: 34228624

Deep learning based synthetic-CT generation in radiotherapy and PET: A review.

Recently,deep learning (DL)-based methods for the generation of synthetic computed tomography (sCT) ...

Sep 2021 PMID: 34407209

An [18F]FDG-PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients.

PURPOSE: The identification of pathological mediastinal lymph nodes is an important step in the stag...

Sep 2021 PMID: 34519888

Multiclass classification of whole-body scintigraphic images using a self-defined convolutional neural network with attention modules.

PURPOSE: A self-defined convolutional neural network is developed to automatically classify whole-bo...

Sep 2021 PMID: 34455613

MRI-guided attenuation correction in torso PET/MRI: Assessment of segmentation-, atlas-, and deep learning-based approaches in the presence of outliers.

PURPOSE: We compare the performance of three commonly used MRI-guided attenuation correction approac...

Sep 2021 PMID: 34480771

Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images.

BACKGROUND: This study aimed to assess the utility of deep learning analysis using pretreatment FDG-...

Aug 2021 PMID: 34362317

Radiology

Browse Specialties

Automatic differentiation of thyroid scintigram by deep convolutional neural network: a dual center study.

Deep learning-based automatic delineation of anal cancer gross tumour volume: a multimodality comparison of CT, PET and MRI.

Deep learning-based denoising of low-dose SPECT myocardial perfusion images: quantitative assessment and clinical performance.

Deep-learning image-reconstruction algorithm for dual-energy CT angiography with reduced iodine dose: preliminary results.

Leveraging deep neural networks to improve numerical and perceptual image quality in low-dose preclinical PET imaging.

Application of Deep Learning Models for Automated Identification of Parkinson's Disease: A Review (2011-2021).

Post-reconstruction attenuation correction for SPECT myocardium perfusion imaging facilitated by deep learning-based attenuation map generation.

Performance evaluation in [18F]Florbetaben brain PET images classification using 3D Convolutional Neural Network.

Comparing the Prognostic Value of Stress Myocardial Perfusion Imaging by Conventional and Cadmium-Zinc Telluride Single-Photon Emission Computed Tomography through a Machine Learning Approach.

Feasibility evaluation of PET scan-time reduction for diagnosing amyloid-β levels in Alzheimer's disease patients using a deep-learning-based denoising algorithm.

Prediction of post-stroke cognitive impairment using brain FDG PET: deep learning-based approach.

A Large-Scale Fully Annotated Low-Cost Microscopy Image Dataset for Deep Learning Framework.

Deep learning based synthetic-CT generation in radiotherapy and PET: A review.

An [18F]FDG-PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients.

Multiclass classification of whole-body scintigraphic images using a self-defined convolutional neural network with attention modules.

MRI-guided attenuation correction in torso PET/MRI: Assessment of segmentation-, atlas-, and deep learning-based approaches in the presence of outliers.

Automatic identification of suspicious bone metastatic lesions in bone scintigraphy using convolutional neural network.

Synthetic pulmonary perfusion images from 4DCT for functional avoidance using deep learning.

dSPIC: a deep SPECT image classification network for automated multi-disease, multi-lesion diagnosis.

Deep learning-based image reconstruction for TOF PET with DIRECT data partitioning format.

Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images.

Browse Specialties