Radiology

Nuclear Medicine

Latest AI and machine learning research in nuclear medicine for healthcare professionals.

5,509 articles
Stay Ahead - Weekly Nuclear Medicine research updates
Subscribe
Browse Categories
Showing 1051-1071 of 5,509 articles
The Use of Random Forests to Identify Brain Regions on Amyloid and FDG PET Associated With MoCA Score.

PURPOSE: The aim of this study was to evaluate random forests (RFs) to identify ROIs on F-florbetapi...

Thyrotropin receptor antibody immunoassays may not be reliable in confirming diagnosis of Painless Thyroiditis.

BACKGROUND: Scintigraphy using 99mTc-pertechnetate (TS) is the diagnostic test to differentiate thyr...

[Generation of the Pseudo CT Image Based on the Deep Learning Technique Aimed for the Attenuation Correction of the PET Image].

Computed tomography (CT) is used for the attenuation correction (AC) of [F-18] fluoro-deoxy-glucose ...

Radiomics and artificial Intelligence for PET imaging analysis.

In recent years, processing of the imaging signal derived from CT, MR or positron emission has prove...

Predicting Amyloid-β Levels in Amnestic Mild Cognitive Impairment Using Machine Learning Techniques.

BACKGROUND: Amyloid-β positivity (Aβ+) based on PET imaging is part of the enrollment criteria for m...

[A Case of Splenic Lymph Node Metastasis from the Distal Bile Duct Carcinoma Seven Years after a Curative Resection].

We report a case of splenic lymph node recurrence 7 years after a distal bile duct carcinoma. A 70s ...

[A Case of Disseminated Carcinomatosis of the Bone Marrow Developing 15 Months after Gastrectomy].

The patient was a 60-year-old man who underwent distal gastrectomy for gastric cancer. The pathologi...

A Machine-Learning Approach Using PET-Based Radiomics to Predict the Histological Subtypes of Lung Cancer.

PURPOSE: We sought to distinguish lung adenocarcinoma (ADC) from squamous cell carcinoma using a mac...

Artificial Neural Network-Based Prediction of Outcome in Parkinson's Disease Patients Using DaTscan SPECT Imaging Features.

PURPOSE: Quantitative analysis of dopamine transporter (DAT) single-photon emission computed tomogra...

The Use of Random Forests to Classify Amyloid Brain PET.

PURPOSE: To evaluate random forests (RFs) as a supervised machine learning algorithm to classify amy...

Full-Dose PET Image Estimation from Low-Dose PET Image Using Deep Learning: a Pilot Study.

Positron emission tomography (PET) imaging is an effective tool used in determining disease stage an...

Deep multi-modality collaborative learning for distant metastases predication in PET-CT soft-tissue sarcoma studies.

Soft-tissue Sarcomas (STS) are a heterogeneous group of malignant neoplasms with a relatively high m...

A 3D Deep Residual Convolutional Neural Network for Differential Diagnosis of Parkinsonian Syndromes on F-FDG PET Images.

Idiopathic Parkinsons disease and atypical parkinsonian syndromes have similar symptoms at early dis...

Automatic Nasopharyngeal Carcinoma Segmentation Using Fully Convolutional Networks with Auxiliary Paths on Dual-Modality PET-CT Images.

Nasopharyngeal carcinoma (NPC) is prevalent in certain areas, such as South China, Southeast Asia, a...

Kinetic study of dye removal using TiO supported on polyethylene terephthalate by advanced oxidation processes through neural networks.

This work investigated the efficiency of polyethylene terephthalate (PET) as support material for Ti...

Hybrid 11C-MET PET/MRI Combined With "Machine Learning" in Glioma Diagnosis According to the Revised Glioma WHO Classification 2016.

PURPOSE: With the advent of the revised WHO classification from 2016, molecular features, including ...

Three Dimensional Analysis of SPECT Images for Diagnosing Early Parkinson's Disease using Radial Basis Function Kernel - Extreme Learning Machine.

BACKGROUND: Parkinson's Disease (PD) is caused by the deficiency of dopamine, the neurotransmitter t...

Browse Categories