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Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 8254-8274 of 14,588 articles

Noise Adaptation Generative Adversarial Network for Medical Image Analysis.

Machine learning has been widely used in medical image analysis under an assumption that the trainin...

Sep 2019 31567075

A new approach for brain tumor diagnosis system: Single image super resolution based maximum fuzzy entropy segmentation and convolutional neural network.

Magnetic resonance imaging (MRI) images can be used to diagnose brain tumors. Thanks to these images...

Sep 2019 31586812

Comparison of CT and MRI images for the prediction of soft-tissue sarcoma grading and lung metastasis via a convolutional neural networks model.

AIM: To realise the automated prediction of soft-tissue sarcoma (STS) grading and lung metastasis ba...

Sep 2019 31575409

Deep learning for World Health Organization grades of pancreatic neuroendocrine tumors on contrast-enhanced magnetic resonance images: a preliminary study.

PURPOSE: The World Health Organization (WHO) grading system of pancreatic neuroendocrine tumor (PNET...

Sep 2019 31555998

Radiologic-Radiomic Machine Learning Models for Differentiation of Benign and Malignant Solid Renal Masses: Comparison With Expert-Level Radiologists.

The objective of our study was to compare the performance of radiologicradiomic machine learning (M...

Sep 2019 31553660

Diagnosis and classification of pediatric acute appendicitis by artificial intelligence methods: An investigator-independent approach.

Acute appendicitis is one of the major causes for emergency surgery in childhood and adolescence. Ap...

Sep 2019 31553729

Machine Learning-Enabled Automated Determination of Acute Ischemic Core From Computed Tomography Angiography.

Background and Purpose- The availability of and expertise to interpret advanced neuroimaging recomme...

Sep 2019 31547796

Detection of Hemodynamically Significant Coronary Stenosis: CT Myocardial Perfusion versus Machine Learning CT Fractional Flow Reserve.

Background Direct intraindividual comparison of dynamic CT myocardial perfusion imaging (MPI) and ma...

Sep 2019 31549943

Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives.

Although computer-aided diagnosis (CAD) is widely used in mammography, conventional CAD programs tha...

Sep 2019 31549948

Single patient convolutional neural networks for real-time MR reconstruction: a proof of concept application in lung tumor segmentation for adaptive radiotherapy.

Investigate 3D (spatial and temporal) convolutional neural networks (CNNs) for real-time on-the-fly ...

Sep 2019 31476750

Deep learning to convert unstructured CT pulmonary angiography reports into structured reports.

BACKGROUND: Structured reports have been shown to improve communication between radiologists and pro...

Sep 2019 31549323

Computationally efficient deep neural network for computed tomography image reconstruction.

PURPOSE: Deep neural network-based image reconstruction has demonstrated promising performance in me...

Sep 2019 31132144

Image reconstruction for positron emission tomography based on patch-based regularization and dictionary learning.

PURPOSE: Positron emission tomography (PET) is an important tool for nuclear medical imaging. It has...

Sep 2019 31494950

Artificial neural network to estimate micro-architectural properties of cortical bone using ultrasonic attenuation: A 2-D numerical study.

The goal of this study is to estimate micro-architectural parameters of cortical porosity such as po...

Sep 2019 31600691

Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning.

The field of medical image reconstruction has seen roughly four types of methods. The first type ten...

Sep 2019 32095024

Three-dimensional convolutional neural networks for simultaneous dual-tracer PET imaging.

Dual-tracer positron emission tomography (PET) is a promising technique to measure the distribution ...

Sep 2019 31292287

Enhancement of Multimodal Microwave-Ultrasound Breast Imaging Using a Deep-Learning Technique.

We present a deep learning method used in conjunction with dual-modal microwave-ultrasound imaging t...

Sep 2019 31546925

Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution.

BACKGROUND: As artificial intelligence methods for the diagnosis of disease advance, we aimed to eva...

Sep 2019 31533838

Browse Categories

Noise Adaptation Generative Adversarial Network for Medical Image Analysis.

A new approach for brain tumor diagnosis system: Single image super resolution based maximum fuzzy entropy segmentation and convolutional neural network.

Comparison of CT and MRI images for the prediction of soft-tissue sarcoma grading and lung metastasis via a convolutional neural networks model.

Deep learning for World Health Organization grades of pancreatic neuroendocrine tumors on contrast-enhanced magnetic resonance images: a preliminary study.

Radiologic-Radiomic Machine Learning Models for Differentiation of Benign and Malignant Solid Renal Masses: Comparison With Expert-Level Radiologists.

Diagnosis and classification of pediatric acute appendicitis by artificial intelligence methods: An investigator-independent approach.

Machine Learning-Enabled Automated Determination of Acute Ischemic Core From Computed Tomography Angiography.

Detection of Hemodynamically Significant Coronary Stenosis: CT Myocardial Perfusion versus Machine Learning CT Fractional Flow Reserve.

Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives.

Single patient convolutional neural networks for real-time MR reconstruction: a proof of concept application in lung tumor segmentation for adaptive radiotherapy.

Deep learning to convert unstructured CT pulmonary angiography reports into structured reports.

Computationally efficient deep neural network for computed tomography image reconstruction.

Image reconstruction for positron emission tomography based on patch-based regularization and dictionary learning.

Artificial neural network to estimate micro-architectural properties of cortical bone using ultrasonic attenuation: A 2-D numerical study.

Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning.

Three-dimensional convolutional neural networks for simultaneous dual-tracer PET imaging.

Enhancement of Multimodal Microwave-Ultrasound Breast Imaging Using a Deep-Learning Technique.

Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution.

Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI.

Machine learning for radiomics-based multimodality and multiparametric modeling.

Machine Learning for Rapid Magnetic Resonance Fingerprinting Tissue Property Quantification.

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