Pericardial fat volume (PFV) is emerging as an important parameter for cardiovascular risk stratification. We propose a hybrid multi-atlas and graph-based segmentation approach for automated PFV quantification from water/fat-resolved whole-heart “needlefree” non-contrast coronary magnetic resonance angiography (MRA). We validated the quantification results on 6 subjects and compared them with m...

In the diagnosis of myocardial infarction, magnetic resonance imaging can provide information about myocardial contractility and tissue characterization, including viability. In current clinical practice, separate scans are required for each aspect. A recently proposed method showed how the same information can be extracted from a single, short scan of 4 s, but made strong assumptions about the...

The size of the cerebellum in ultrasound volumes of the fetal brain has shown a high correlation with gestational age, which makes it a valuable feature to detect fetal growth restrictions. Manual annotation of the 3D surface of the cerebellum in an ultrasound volume is a time consuming task, which needs to be performed by a highly trained expert. In order to assist the experts in the evaluatio...

Reconstructing a large skull defect is challenge, as it normally involves the use of sophisticated proprietary image processing and expensive CAD software. As an alternative, open-source software can be used for this purpose. This study aimed to compare 3D cranial implants reconstructed from computed tomography (CT) images using MITK with commercial 3-matic ten decompressive craniectomy patient...

As colonoscopy is the standard screening approach for colorectal polyps, and first step of correct classification efficient automatic diagnostics accurate detection segmentation existing it worth researching systematically, how databases are responding to two most influential variational methods, geodesic Chan–Vese active contour methods. Due quality variation databases, pre-processing steps ma...

Large curated datasets are necessary, but annotating medical images is a time-consuming, laborious, and expensive process. Therefore, recent supervised methods focusing on utilizing large amount of unlabeled data. However, to do so, challenging task. To address this problem, we propose new 3D Cross-Pseudo Supervision (3D-CPS) method, semi-supervised network architecture based nnU-Net with the m...

using microsatellite molecular markers is important particularly due to their high accuracy in studying the genome of the fruit trees. in this study, genetic diversity and relations of 68 almond cultivars and genotypes using microsatellite marker (ssr) were studied. genomic dna extracted from young leaf tissues and pcr reactions were performed using 22 selected primers (among 100 primers) of mi...

To help developing a localization oriented EBMT system, an automatic machine translation evaluation method is implemented which adopts edit distance, cosine correlation and Dice coefficient as criteria. Experiment shows that the evaluation method distinguishes well between “good” translations and “bad” ones. To prove that the method is consistent with human evaluation, 6 MT systems are scored a...

A pipelined framework is proposed for accurate, automated, simultaneous segmentation of the liver as well hepatic tumors from computed tomography (CT) images. The introduced composed three levels. First, two different transfers deep convolutional neural networks (CNN) are applied to get high-level compact features CT Second, a pixel-wise classifier used obtain output-classified maps each CNN mo...

Background: For the reconstruction of Cone-Beam CT volumes, exact position each projection is needed; however, in some situations, this information missing. Purpose: The development a self-calibration algorithm for arbitrary CBCT trajectories that does not need initial positions. Methods: Projections are simulated spherical grid around center rotation. Through using feature detection and matchi...