AIMC Topic: Tomography, X-Ray Computed

Clear Filters Showing 4181 to 4190 of 5128 articles

Disease-free survival assessment by artificial neural networks for hepatocellular carcinoma patients after radiofrequency ablation.

Journal of the Formosan Medical Association = Taiwan yi zhi
BACKGROUND/PURPOSE: Radiofrequency ablation (RFA) provides an effective treatment for patients who exhibit early hepatocellular carcinoma (HCC) stages or are waiting for liver transplantation. It is important to assess patients after RFA. The goal of...

Epicardial adipose tissue and myocardial ischemia assessed by computed tomography perfusion imaging and invasive fractional flow reserve.

Journal of cardiovascular computed tomography
BACKGROUND: Epicardial adipose tissue (EAT) is a metabolically active fat depot that is associated with incident coronary artery disease (CAD) and major adverse cardiovascular events. The relationship between EAT and myocardial ischemia remains uncle...

Tomographic image reconstruction via estimation of sparse unidirectional gradients.

Computers in biology and medicine
Since computed tomography (CT) was developed over 35 years ago, new mathematical ideas and computational algorithms have been continuingly elaborated to improve the quality of reconstructed images. In recent years, a considerable effort can be notice...

Surgery for predominant lesion in nonlocalized bronchiectasis.

The Journal of thoracic and cardiovascular surgery
OBJECTIVE: Patients with nonlocalized bronchiectasis are encountered commonly; however, there is little information regarding surgical intervention in this patient population. The aim of this study was to evaluate symptomatic response and safety of a...

Multisource Transfer Learning With Convolutional Neural Networks for Lung Pattern Analysis.

IEEE journal of biomedical and health informatics
Early diagnosis of interstitial lung diseases is crucial for their treatment, but even experienced physicians find it difficult, as their clinical manifestations are similar. In order to assist with the diagnosis, computer-aided diagnosis systems hav...

Non-small cell lung cancer: quantitative phenotypic analysis of CT images as a potential marker of prognosis.

Scientific reports
This was a retrospective study to investigate the predictive and prognostic ability of quantitative computed tomography phenotypic features in patients with non-small cell lung cancer (NSCLC). 661 patients with pathological confirmed as NSCLC were en...

Lung Cancer Classification Employing Proposed Real Coded Genetic Algorithm Based Radial Basis Function Neural Network Classifier.

Computational and mathematical methods in medicine
A proposed real coded genetic algorithm based radial basis function neural network classifier is employed to perform effective classification of healthy and cancer affected lung images. Real Coded Genetic Algorithm (RCGA) is proposed to overcome the ...

Dosimetric Implications of Residual Tracking Errors During Robotic SBRT of Liver Metastases.

International journal of radiation oncology, biology, physics
PURPOSE: Although the metric precision of robotic stereotactic body radiation therapy in the presence of breathing motion is widely known, we investigated the dosimetric implications of breathing phase-related residual tracking errors.

Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets.

International journal of computer assisted radiology and surgery
PURPOSE: Multi-organ segmentation from CT images is an essential step for computer-aided diagnosis and surgery planning. However, manual delineation of the organs by radiologists is tedious, time-consuming and poorly reproducible. Therefore, we propo...