Attention‐guided duplex adversarial U‐net for pancreatic segmentation from computed tomography images
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Applied Clinical Medical Physics"
DOI: 10.1002/acm2.13537
Abstract: Abstract Purpose Segmenting the organs from computed tomography (CT) images is crucial to early diagnosis and treatment. Pancreas segmentation is especially challenging because the pancreas has a small volume and a large variation in shape.… read more here.
Keywords: computed tomography; guided duplex; attention guided; segmentation ... See more keywords
A comparative study of two automated solutions for cross-sectional skeletal muscle measurement from abdominal computed tomography images.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16261
Abstract: BACKGROUND Measurement of cross-sectional muscle area (CSMA) at the mid third lumbar vertebra (L3) level from computed tomography (CT) images is becoming one of the reference methods for sarcopenia diagnosis. However, manual skeletal muscle segmentation… read more here.
Keywords: automated solutions; computed tomography; muscle; cross sectional ... See more keywords
High‐resolution simulation of B0 field conditions in the human heart from segmented computed tomography images
Sign Up to like & getrecommendations! Published in 2022 at "NMR in Biomedicine"
DOI: 10.1002/nbm.4739
Abstract: B0 inhomogeneity leads to imaging artifacts in cardiac magnetic resonance imaging (MRI), in particular dark band artifacts with steady‐state free precession pulse sequences. The limited spatial resolution of MR‐derived in vivo B0 maps and the… read more here.
Keywords: human heart; computed tomography; resolution; tomography images ... See more keywords
Early diagnosis of COVID-19-affected patients based on X-ray and computed tomography images using deep learning algorithm
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-020-05275-y
Abstract: The novel coronavirus infection (COVID-19) that was first identified in China in December 2019 has spread across the globe rapidly infecting over ten million people. The World Health Organization (WHO) declared it as a pandemic… read more here.
Keywords: tomography images; computed tomography; ray computed; early diagnosis ... See more keywords
An Efficient Method for the Detection of Oblique Fissures from Computed Tomography images of Lungs
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Medical Systems"
DOI: 10.1007/s10916-019-1396-0
Abstract: Detection of a pulmonary fissure in lungs is difficult due to its anatomical changeability among humans and it is essential in the clinical environment for accurate localizing and treating the lung abnormalities on a lobe… read more here.
Keywords: tomography images; computed tomography; detection; oblique fissures ... See more keywords
Automatic measurement of mandibular cortical bone width on cone-beam computed tomography images
Sign Up to like & getrecommendations! Published in 2020 at "Oral Radiology"
DOI: 10.1007/s11282-020-00469-4
Abstract: The computed tomography cortical index (CTCI), computed tomography mandibular index (CTMI), and computed tomography index (inferior) [CTI(I)] are indexes obtained from cone-beam computed tomography images for the assessment of the mandibular cortex quality for implant… read more here.
Keywords: tomography images; computed tomography; beam computed; cone beam ... See more keywords
A patient-specific approach for quantitative and automatic analysis of computed tomography images in lung disease: Application to COVID-19 patients
Sign Up to like & getrecommendations! Published in 2021 at "Physica Medica"
DOI: 10.1016/j.ejmp.2021.01.004
Abstract: Purpose Quantitative metrics in lung computed tomography (CT) images have been widely used, often without a clear connection with physiology. This work proposes a patient-independent model for the estimation of well-aerated volume of lungs in… read more here.
Keywords: covid patients; tomography images; computed tomography; covid ... See more keywords
A Systematic Review of Automated Segmentation Methods and Public Datasets for the Lung and its Lobes and Findings on Computed Tomography Images
Sign Up to like & getrecommendations! Published in 2022 at "Yearbook of Medical Informatics"
DOI: 10.1055/s-0042-1742517
Abstract: Summary Objectives : Automated computational segmentation of the lung and its lobes and findings in X-Ray based computed tomography (CT) images is a challenging problem with important applications, including medical research, surgical planning, and diagnostic… read more here.
Keywords: review; computed tomography; lung lobes; segmentation ... See more keywords
Computed Tomography Images of the Scapula Taken With Reduced Dose Can Yield Segmented Models of Sufficient Accuracy: A Pilot Study
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Computer Assisted Tomography"
DOI: 10.1097/rct.0000000000000706
Abstract: Objective The aim of the study was to investigate the influence of tube current reduction on the segmentation accuracy of the scapula. Methods A human cadaver was computed tomography scanned multiple times while reducing tube… read more here.
Keywords: tomography images; computed tomography; study; accuracy ... See more keywords
Evaluating the Anatomical Traits of Lip on Three-Dimensional Computed Tomography Images.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Craniofacial Surgery"
DOI: 10.1097/scs.0000000000006124
Abstract: BACKGROUND Lips and mouth are the most recognizable parts of the lower face. The morphometry of the facial organs is important for the balance of the face. Besides congenital anomalies occur on the lips, some… read more here.
Keywords: tomography images; tissue; three dimensional; dimensional computed ... See more keywords
A Novel Two-Compartment Model for Calculating Bone Volume Fractions and Bone Mineral Densities From Computed Tomography Images
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2016.2646698
Abstract: Osteoporosis is a disease characterized by a degradation of bone structures. Various methods have been developed to diagnose osteoporosis by measuring bone mineral density (BMD) of patients. However, BMDs from these methods were not equivalent… read more here.
Keywords: tomography images; bone mineral; computed tomography; volume ... See more keywords