A comparison of visual identification of dental radiographic and nonradiographic images using eye tracking technology
Sign Up to like & getrecommendations! Published in 2020 at "Clinical and Experimental Dental Research"
DOI: 10.1002/cre2.249
Abstract: Eye tracking has been used in medical radiology to understand observers' gaze patterns during radiological diagnosis. This study examines the visual identification ability of junior hospital dental officers (JHDOs) and dental surgery assistants (DSAs) in… read more here.
Keywords: images using; radiographic nonradiographic; nonradiographic images; visual identification ... See more keywords
Analysis and classification of malignancy in pancreatic magnetic resonance images using neural network techniques
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22314
Abstract: Computer‐aided diagnosis (CAD) is a computerized way of detecting tumors in MR images. Magnetic resonance imaging (MRI) has been generally used in the diagnosis and detection of pancreatic tumors. In a medical imaging system, soft… read more here.
Keywords: neural network; classification; magnetic resonance; images using ... See more keywords
An effective deep learning model for grading abnormalities in retinal fundus images using variational auto‐encoders
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22785
Abstract: Diabetic retinopathy (DR) and Diabetic Macular Edema (DME) are severe diseases that affect the eyes due to damage in blood vessels. Computer‐aided automated grading will help clinicians conduct disease diagnoses at ease. Experiments of automated… read more here.
Keywords: learning model; abnormalities retinal; images using; deep learning ... See more keywords
Automatic classification of informative laryngoscopic images using deep learning
Sign Up to like & getrecommendations! Published in 2022 at "Laryngoscope Investigative Otolaryngology"
DOI: 10.1002/lio2.754
Abstract: This study aims to develop and validate a convolutional neural network (CNN)‐based algorithm for automatic selection of informative frames in flexible laryngoscopic videos. The classifier has the potential to aid in the development of computer‐aided… read more here.
Keywords: informative laryngoscopic; laryngoscopic; laryngoscopic images; images using ... See more keywords
Automated segmentation of the knee for age assessment in 3D MR images using convolutional neural networks
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Legal Medicine"
DOI: 10.1007/s00414-018-1953-y
Abstract: Age assessment is used to estimate the chronological age of an individual who lacks legal documentation. Recent studies indicate that the ossification degree of the growth plates in the knee joint correlates with chronological age… read more here.
Keywords: age assessment; using convolutional; images using; age ... See more keywords
Efficient compression of volumetric medical images using Legendre moments and differential evolution
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-03922-7
Abstract: Volumetric medical images are widely used in diagnosing and detecting health problems of patients. Large datasets of volumetric medical images required huge storage space and high network capabilities to transmit these medical images from one… read more here.
Keywords: legendre moments; efficient compression; images using; volumetric medical ... See more keywords
Enhancing the recovery of a temporal sequence of images using joint deconvolution
Sign Up to like & getrecommendations! Published in 2018 at "Scientific Reports"
DOI: 10.1038/s41598-018-22811-x
Abstract: In this work, we address the reconstruction of spatial patterns that are encoded in light fields associated with a series of light pulses emitted by a laser source and imaged using photon-counting cameras, with an… read more here.
Keywords: images using; recovery temporal; temporal sequence; enhancing recovery ... See more keywords
Moving-Target Detection in SAR Images Using Difference Between Two Looks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2019.2953291
Abstract: Moving targets can be detected in synthetic aperture radar (SAR) images using the difference between two looks because in the two looks, the images of a stationary target are similar, but the images of a… read more here.
Keywords: sar images; using difference; images using; two looks ... See more keywords
Segmentation of Multi-Band Images Using Watershed Arcs
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3223625
Abstract: Watershed Arcs Removal for node-weighted graphs method addressed the over-segmentation problem of classical watershed transformation, in a significantly shorter run-time. In this study, a variation of Watershed Arcs Removal is proposed that generates hierarchical partitioning… read more here.
Keywords: segmentation multi; images using; multi band; watershed arcs ... See more keywords
Denoising of PET Images using NSCT and Quasi-Robust Potentials
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Latin America Transactions"
DOI: 10.1109/tla.2017.7994801
Abstract: In this paper we present an algorithm for the denoising of small animal positron emission images. The proposed algorithm combines a multiresolution transform with robust filtering of regions. The image is processed in the non-subsampled… read more here.
Keywords: image; pet images; robust potentials; images using ... See more keywords
Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3174513
Abstract: Cephalometric analysis relies on accurate detection of craniomaxillofacial (CMF) landmarks from cone-beam computed tomography (CBCT) images. However, due to the complexity of CMF bony structures, it is difficult to localize landmarks efficiently and accurately. In… read more here.
Keywords: cbct images; images using; landmarks cbct; localization craniomaxillofacial ... See more keywords