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Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 8002-8022 of 14,558 articles

Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning.

To assist radiologists in breast cancer classification in automated breast ultrasound (ABUS) imaging...

Feb 2020 32059918

Hierarchical Class Incremental Learning of Anatomical Structures in Fetal Echocardiography Videos.

This paper proposes an ultrasound video interpretation algorithm that enables novel classes or insta...

Feb 2020 32071014

Multimodal Data Analysis of Alzheimer's Disease Based on Clustering Evolutionary Random Forest.

Alzheimer's disease (AD) has become a severe medical challenge. Advances in technologies produced hi...

Feb 2020 32071013

RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields.

Segmentation of brain lesions from magnetic resonance images (MRI) is an important step for disease ...

Feb 2020 32057997

Ga-PSMA PET/CT versus CT and bone scan for investigation of PSA failure post radical prostatectomy.

OBJECTIVE: To evaluate the use of Gallium-68 prostate-specific membrane antigen positron emission to...

Feb 2020 33996472

Channel Attention Module With Multiscale Grid Average Pooling for Breast Cancer Segmentation in an Ultrasound Image.

Breast cancer accounts for the second-largest number of deaths in women around the world, and more t...

Feb 2020 32054578

Machine Learning to Predict Stent Restenosis Based on Daily Demographic, Clinical, and Angiographic Characteristics.

BACKGROUND: Machine learning (ML) has arrived in medicine to deliver individually adapted medical ca...

Feb 2020 32311312

Better efficacy in differentiating WHO grade II from III oligodendrogliomas with machine-learning than radiologist's reading from conventional T1 contrast-enhanced and fluid attenuated inversion recovery images.

BACKGROUND: The medical imaging to differentiate World Health Organization (WHO) grade II (ODG2) fro...

Feb 2020 32033580

Motion Biomarkers Showing Maximum Contrast Between Healthy Subjects and Parkinson's Disease Patients Treated With Deep Brain Stimulation of the Subthalamic Nucleus. A Pilot Study.

Classic motion abnormalities in Parkinson's disease (PD), such as tremor, bradykinesia, or rigidity...

Feb 2020 32116488

Development and application of artificial intelligence in cardiac imaging.

In this review, we describe the technical aspects of artificial intelligence (AI) in cardiac imaging...

Feb 2020 32017605

Automated differentiation of benign renal oncocytoma and chromophobe renal cell carcinoma on computed tomography using deep learning.

OBJECTIVES: To develop and evaluate the feasibility of an objective method using artificial intellig...

Feb 2020 31901213

Accuracy of a machine learning muscle MRI-based tool for the diagnosis of muscular dystrophies.

OBJECTIVE: Genetic diagnosis of muscular dystrophies (MDs) has classically been guided by clinical p...

Feb 2020 32029545

Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study.

BACKGROUND: Mammography is the current standard for breast cancer screening. This study aimed to dev...

Feb 2020 33334578

Automatic detection of brachytherapy seeds in 3D ultrasound images using a convolutional neural network.

A novel approach for automatic localization of brachytherapy seeds in 3D transrectal ultrasound (TRU...

Feb 2020 31860899

Multiparametric radiomics methods for breast cancer tissue characterization using radiological imaging.

BACKGROUND AND PURPOSE: Multiparametric radiological imaging is vital for detection, characterizatio...

Feb 2020 32020435

Automatic diagnosis for thyroid nodules in ultrasound images by deep neural networks.

Thyroid cancer is a disease in which the first symptom is a nodule in the thyroid region of the neck...

Feb 2020 32062156

Reconstruction of undersampled 3D non-Cartesian image-based navigators for coronary MRA using an unrolled deep learning model.

PURPOSE: To rapidly reconstruct undersampled 3D non-Cartesian image-based navigators (iNAVs) using a...

Feb 2020 32011021

The influence of image quality on diagnostic performance of a machine learning-based fractional flow reserve derived from coronary CT angiography.

OBJECTIVE: To investigate the effect of image quality of coronary CT angiography (CCTA) on the diagn...

Jan 2020 32006167

Browse Categories

Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning.

Hierarchical Class Incremental Learning of Anatomical Structures in Fetal Echocardiography Videos.

Multimodal Data Analysis of Alzheimer's Disease Based on Clustering Evolutionary Random Forest.

RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields.

Ga-PSMA PET/CT versus CT and bone scan for investigation of PSA failure post radical prostatectomy.

Channel Attention Module With Multiscale Grid Average Pooling for Breast Cancer Segmentation in an Ultrasound Image.

Machine Learning to Predict Stent Restenosis Based on Daily Demographic, Clinical, and Angiographic Characteristics.

Better efficacy in differentiating WHO grade II from III oligodendrogliomas with machine-learning than radiologist's reading from conventional T1 contrast-enhanced and fluid attenuated inversion recovery images.

Motion Biomarkers Showing Maximum Contrast Between Healthy Subjects and Parkinson's Disease Patients Treated With Deep Brain Stimulation of the Subthalamic Nucleus. A Pilot Study.

Development and application of artificial intelligence in cardiac imaging.

Automated differentiation of benign renal oncocytoma and chromophobe renal cell carcinoma on computed tomography using deep learning.

Accuracy of a machine learning muscle MRI-based tool for the diagnosis of muscular dystrophies.

Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study.

Automatic detection of brachytherapy seeds in 3D ultrasound images using a convolutional neural network.

Multiparametric radiomics methods for breast cancer tissue characterization using radiological imaging.

Automatic diagnosis for thyroid nodules in ultrasound images by deep neural networks.

Reconstruction of undersampled 3D non-Cartesian image-based navigators for coronary MRA using an unrolled deep learning model.

PET image super-resolution using generative adversarial networks.

User-controlled pipelines for feature integration and head and neck radiation therapy outcome predictions.

Artificial intelligence: Who is responsible for the diagnosis?

The influence of image quality on diagnostic performance of a machine learning-based fractional flow reserve derived from coronary CT angiography.

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