AIMC Topic: Positron-Emission Tomography
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Transoral robotic surgery for the management of head and neck squamous cell carcinoma of unknown primary.
Acta oto-laryngologica
Jun 13, 2015
CONCLUSION: The addition of transoral robotic surgery (TORS) in the diagnostic management of patients classified with head and neck squamous cell carcinoma of unknown primary (SCCUP) is promising and appears to improve detection rates of the primary ...
Carcinoma, Squamous Cell
Neoplasms, Unknown Primary
Aged
Treatment Outcome
Male
Squamous Cell Carcinoma of Head and Neck
Humans
Middle Aged
Head and Neck Neoplasms
Retrospective Studies
Robotics
Tomography, X-Ray Computed
Female
Neoplasm Staging
Mouth
Positron-Emission Tomography
Natural Orifice Endoscopic Surgery
Combined unsupervised-supervised classification of multiparametric PET/MRI data: application to prostate cancer.
NMR in biomedicine
May 26, 2015
Multiparametric medical imaging data can be large and are often complex. Machine learning algorithms can assist in image interpretation when reliable training data exist. In most cases, however, knowledge about ground truth (e.g. histology) and thus ...
Image Enhancement
Male
Middle Aged
Magnetic Resonance Imaging
Multimodal Imaging
Reproducibility of Results
Prostatic Neoplasms
Humans
Aged
Positron-Emission Tomography
Machine Learning
Aged, 80 and over
Image Interpretation, Computer-Assisted
Algorithms
Sensitivity and Specificity
Pattern Recognition, Automated
Deep sparse multi-task learning for feature selection in Alzheimer's disease diagnosis.
Brain structure & function
May 21, 2015
Recently, neuroimaging-based Alzheimer's disease (AD) or mild cognitive impairment (MCI) diagnosis has attracted researchers in the field, due to the increasing prevalence of the diseases. Unfortunately, the unfavorable high-dimensional nature of neu...
A Robust Deep Model for Improved Classification of AD/MCI Patients.
IEEE journal of biomedical and health informatics
May 4, 2015
Accurate classification of Alzheimer's disease (AD) and its prodromal stage, mild cognitive impairment (MCI), plays a critical role in possibly preventing progression of memory impairment and improving quality of life for AD patients. Among many rese...
The method and efficacy of support vector machine classifiers based on texture features and multi-resolution histogram from (18)F-FDG PET-CT images for the evaluation of mediastinal lymph nodes in patients with lung cancer.
European journal of radiology
Nov 18, 2014
OBJECTIVES: In clinical practice, image analysis is dependent on simply visual perception and the diagnostic efficacy of this analysis pattern is limited for mediastinal lymph nodes in patients with lung cancer. In order to improve diagnostic efficac...
Manifold regularized multitask feature learning for multimodality disease classification.
Human brain mapping
Oct 3, 2014
Multimodality based methods have shown great advantages in classification of Alzheimer's disease (AD) and its prodromal stage, that is, mild cognitive impairment (MCI). Recently, multitask feature selection methods are typically used for joint select...
A myocardial reorientation method based on feature point detection for quantitative analysis of PET myocardial perfusion imaging.
Computer methods and programs in biomedicine
Aug 1, 2025
OBJECTIVE: Reorienting cardiac positron emission tomography (PET) images to the transaxial plane is essential for cardiac PET image analysis. This study aims to design a convolutional neural network (CNN) for automatic reorientation and evaluate its ...
A hybrid predictor-corrector network and spatiotemporal classifier method for noisy plant PET image classification.
Physics in medicine and biology
Jul 7, 2025
. Plant Positron Emission Tomography (PET) is a new and efficient imaging technique which aims at providing a quantitative analysis of plant stress, enabling personalized crop management and maximizing productivity. However, a highly performant class...
Artificial intelligence based malignant lymphoma type prediction using enhanced super resolution image and hybrid feature extraction algorithm.
Computers in biology and medicine
Jul 1, 2025
In the medical field, the most common and frequent type of blood cancer is lymphoma. Accurately predicting and early response to lymphoma treatment will be useful for initiating treatment plans to achieve a greater rate of cure or reduced risk of tre...
Radiomics of PET Using Neural Networks for Prediction of Alzheimer's Disease Diagnosis.
Statistics in medicine
Jun 1, 2025
Positron emission tomography (PET) imaging technology is widely used for diagnosing Alzheimer's disease (AD) in people with dementia. Although various computational methods have been proposed for diagnosis of AD using PET images, prediction of diseas...
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