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Showing 1009-1029 of 5,219 articles

Automatic PET cervical tumor segmentation by combining deep learning and anatomic prior.

Cervical tumor segmentation on 3D FDG PET images is a challenging task because of the proximity betw...

Apr 2019 30818303

Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma.

PURPOSE: We aimed to evaluate the value of deep learning on positron emission tomography with comput...

Apr 2019 30975664

Feasible Classified Models for Parkinson Disease from Tc-TRODAT-1 SPECT Imaging.

The neuroimaging techniques such as dopaminergic imaging using Single Photon Emission Computed Tomog...

Apr 2019 30978990

Application of Artificial Neural Networks to Identify Alzheimer's Disease Using Cerebral Perfusion SPECT Data.

The aim of this study was to demonstrate the usefulness of artificial neural networks in Alzheimer d...

Apr 2019 30979022

Unsupervised tumor detection in Dynamic PET/CT imaging of the prostate.

Early detection and localization of prostate tumors pose a challenge to the medical community. Sever...

Apr 2019 31005029

Joint correction of attenuation and scatter in image space using deep convolutional neural networks for dedicated brain F-FDG PET.

Dedicated brain positron emission tomography (PET) devices can provide higher-resolution images with...

Apr 2019 30743246

DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problem.

The purpose of this research was to implement a deep learning network to overcome two of the major b...

Mar 2019 30954852

Combining many-objective radiomics and 3D convolutional neural network through evidential reasoning to predict lymph node metastasis in head and neck cancer.

Lymph node metastasis (LNM) is a significant prognostic factor in patients with head and neck cancer...

Mar 2019 30780137

Generation of virtual lung single-photon emission computed tomography/CT fusion images for functional avoidance radiotherapy planning using machine learning algorithms.

INTRODUCTION: Functional image-guided radiotherapy (RT) planning for normal lung avoidance has recen...

Mar 2019 30874371

Measurement of Glomerular Filtration Rate using Quantitative SPECT/CT and Deep-learning-based Kidney Segmentation.

Quantitative SPECT/CT is potentially useful for more accurate and reliable measurement of glomerular...

Mar 2019 30862873

Machine learning polymer models of three-dimensional chromatin organization in human lymphoblastoid cells.

We present machine learning models of human genome three-dimensional structure that combine one dime...

Mar 2019 30853548

Scaled Subprofile Modeling and Convolutional Neural Networks for the Identification of Parkinson's Disease in 3D Nuclear Imaging Data.

Over the last years convolutional neural networks (CNNs) have shown remarkable results in different ...

Mar 2019 31046514

Thyroid Diagnosis from SPECT Images Using Convolutional Neural Network with Optimization.

Thyroid disease has now become the second largest disease in the endocrine field; SPECT imaging is p...

Jan 2019 30766599

MRI-based attenuation correction for brain PET/MRI based on anatomic signature and machine learning.

Deriving accurate attenuation maps for PET/MRI remains a challenging problem because MRI voxel inten...

Jan 2019 30524027

Deep Learning Based Attenuation Correction of PET/MRI in Pediatric Brain Tumor Patients: Evaluation in a Clinical Setting.

Positron emission tomography (PET) imaging is a useful tool for assisting in correct differentiatio...

Jan 2019 30666184

Simultaneous cosegmentation of tumors in PET-CT images using deep fully convolutional networks.

PURPOSE: To investigate the use and efficiency of 3-D deep learning, fully convolutional networks (D...

Jan 2019 30537103

Widespread occurrence of glyphosate in urine from pet dogs and cats in New York State, USA.

Glyphosate is one of the most widely used herbicides in the United States, which has led to its ubiq...

Dec 2018 31096409

Tumor co-segmentation in PET/CT using multi-modality fully convolutional neural network.

Automatic tumor segmentation from medical images is an important step for computer-aided cancer diag...

Dec 2018 30523964

Prediction of Lymph Node Maximum Standardized Uptake Value in Patients With Cancer Using a 3D Convolutional Neural Network: A Proof-of-Concept Study.

OBJECTIVE: The purpose of this study is to determine whether a convolutional neural network (CNN) ca...

Dec 2018 30540209

Ultra-Low-Dose F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs.

Purpose To reduce radiotracer requirements for amyloid PET/MRI without sacrificing diagnostic qualit...

Dec 2018 30526350

Personalized Models for Injected Activity Levels in SPECT Myocardial Perfusion Imaging.

We propose a patient-specific ("personalized") approach for tailoring the injected activities to ind...

Dec 2018 30530358