Latest AI and machine learning research in nuclear medicine for healthcare professionals.
INTRODUCTION: Recently there have been significant advances in the field of machine learning and art...
A 34-year-old woman with history of surgical correction (Takeuchi procedure) of anomalous left coron...
The differential diagnosis of primary central nervous system lymphoma from glioblastoma multiforme (...
PURPOSE: Our goal was to use a generative adversarial network (GAN) with feature matching and task-s...
AIM: To assess the ability of artificial neural networks (ANNs) to predict the likelihood of maligna...
BACKGROUND: Owing to the large variation in treatment response among patients with high-risk prostat...
PET images often suffer poor signal-to-noise ratio (SNR). Our objective is to improve the SNR of PET...
Biological tumour volume (GTV) delineation on F-FDG PET acquired during induction chemotherapy (ICT)...
OBJECTIVES: To provide an automated classification method for degenerative parkinsonian syndromes (P...
BACKGROUND: Recent deep learning models have shown remarkable accuracy for the diagnostic classifica...
Cervical tumor segmentation on 3D FDG PET images is a challenging task because of the proximity betw...
PURPOSE: We aimed to evaluate the value of deep learning on positron emission tomography with comput...
The aim of this study was to demonstrate the usefulness of artificial neural networks in Alzheimer d...
The neuroimaging techniques such as dopaminergic imaging using Single Photon Emission Computed Tomog...
Early detection and localization of prostate tumors pose a challenge to the medical community. Sever...
Dedicated brain positron emission tomography (PET) devices can provide higher-resolution images with...
The purpose of this research was to implement a deep learning network to overcome two of the major b...
Lymph node metastasis (LNM) is a significant prognostic factor in patients with head and neck cancer...
INTRODUCTION: Functional image-guided radiotherapy (RT) planning for normal lung avoidance has recen...
Quantitative SPECT/CT is potentially useful for more accurate and reliable measurement of glomerular...
We present machine learning models of human genome three-dimensional structure that combine one dime...