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
Sd-net: a semi-supervised double-cooperative network for liver segmentation from computed tomography (CT) images
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Cancer Research and Clinical Oncology"
DOI: 10.1007/s00432-023-05564-7
Abstract: Introduction The automatic segmentation of the liver is a crucial step in obtaining quantitative biomarkers for accurate clinical diagnosis and computer-aided decision support systems. This task is challenging due to the frequent presence of noise… read more here.
Keywords: supervised double; segmentation; semi supervised; network ... 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
Accuracy assessment of a cochlear implant imaging tool using clinical computed tomography images
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-16600-6
Abstract: In today’s clinical routine, imaging tools are increasingly used for cochlear implant surgical planning and assessment. However, low resolution and artifacts of computer tomography (CT) images often prevent a reliable assessment of the cochlea geometry,… read more here.
Keywords: tool; implant imaging; imaging tool; cochlear implant ... See more keywords
Passive localization based on radio tomography images with CNN model utilizing WIFI RSSI
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-99694-2
Abstract: Passive localization is necessary for Internet of Things (IoT) applications to observe and follow people without requiring them to carry massive equipment. This is crucial in private settings like security and medical monitoring, where individuals… read more here.
Keywords: passive localization; tomography images; radio tomography; localization ... 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