Diagnosis of Parkinson's disease based on feature fusion on T2 MRI images
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.23046
Abstract: Deep‐learning methods (especially convolutional neural networks) using magnetic resonance imaging (MRI) data have been successfully applied to computer‐aided diagnosis of Parkinson's Disease (PD). Early detection and prior care may help patients improve their quality of… read more here.
Keywords: mri images; diagnosis parkinson; parkinson disease;
Left–Right Intensity Asymmetries Vary Depending on Scanner Model for FLAIR and T1 Weighted MRI Images
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.28105
Abstract: Localized regions of left–right image intensity asymmetry (LRIA) were incidentally observed on T2‐weighted (T2‐w) and T1‐weighted (T1‐w) diagnostic magnetic resonance imaging (MRI) images. Suspicion of herpes encephalitis resulted in unnecessary follow‐up imaging. A nonbiological imaging… read more here.
Keywords: right intensity; asymmetries vary; mri images; intensity asymmetries ... See more keywords
Inpainting the metal artifact region in MRI images by using generative adversarial networks with gated convolution.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15931
Abstract: PURPOSE Magnetic resonance imaging (MRI) plays an important role in clinical diagnosis, but it is susceptible to metal artifacts. The generative adversarial network GatedConv with gated convolution (GC) and contextual attention (CA) was used to… read more here.
Keywords: metal artifact; artifact region; mri images; mri ... See more keywords
Are pancreatic IPMN volumes measured on MRI images more reproducible than diameters? An assessment in a large single-institution cohort
Sign Up to like & getrecommendations! Published in 2017 at "European Radiology"
DOI: 10.1007/s00330-017-5268-z
Abstract: ObjectivesTo assess reproducibility of volume and diameter measurement of intraductal papillary mucinous neoplasms (IPMNs) on MRI images.MethodsThree readers measured the diameters and volumes of 164 IPMNs on axial T2-weighted images and coronal thin-slice navigator heavily… read more here.
Keywords: reproducibility; axial coronal; mri images; volume measurements ... See more keywords
Detecting tumours by segmenting MRI images using transformed differential evolution algorithm with Kapur’s thresholding
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04104-0
Abstract: The speed and accuracy with which the patient affected with brain tumour is diagnosed and monitored, plays a very crucial role in providing treatment to the patient. During the diagnosis of the diseased part, a… read more here.
Keywords: mri images; image; transformed differential; differential evolution ... See more keywords
Liver segmentation in MRI images based on whale optimization algorithm
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4638-5
Abstract: This paper proposes an approach for liver segmentation in MRI images based on Whale optimization algorithm (WOA). It is used to extract the different clusters in the abdominal image to support the segmentation process. A… read more here.
Keywords: mri images; segmentation mri; image; liver segmentation ... See more keywords
Computer-aided diagnosis applied to MRI images of brain tumor using cognition based modified level set and optimized ANN classifier
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6176-1
Abstract: MRI image segmentation and classification is one of the important tasks in medical image analysis and visualization, despite occurrence of noise makes it tough to segment the region of interest. In this paper, the MRI… read more here.
Keywords: classification; modified level; level; mri images ... See more keywords
Neural Network Ensemble and Jaya Algorithm Based Diagnosis of Brain Tumor Using MRI Images
Sign Up to like & getrecommendations! Published in 2018 at "Journal of The Institution of Engineers (India): Series B"
DOI: 10.1007/s40031-018-0355-3
Abstract: Brain plays an important role in performing the routine tasks. But, the normal functioning of the brain is hindered because of the blockage and tumors etc. There exist various classifiers for the classification of MRI… read more here.
Keywords: network ensemble; mri images; jaya algorithm; neural network ... See more keywords
MRI for the detection of calcific features of vertebral haemangioma.
Sign Up to like & getrecommendations! Published in 2017 at "Clinical radiology"
DOI: 10.1016/j.crad.2017.02.018
Abstract: AIM To evaluate the diagnostic performance of susceptibility-weighted-magnetic-resonance imaging (SW-MRI) for the detection of vertebral haemangiomas (VHs) compared to T1/T2-weighted MRI sequences, radiographs, and computed tomography (CT). MATERIALS AND METHODS The study was approved by… read more here.
Keywords: vhs; detection; mri detection; mri images ... See more keywords
Applicability of 3.0 T MRI images in the estimation of full age based on shoulder joint ossification: Single-centre study.
Sign Up to like & getrecommendations! Published in 2020 at "Legal medicine"
DOI: 10.1016/j.legalmed.2020.101767
Abstract: Skeletal maturity is evaluated by many radiological methods for forensic age estimation. Direct radiography and computed tomography lead to a rise in ethical concerns due to radiation exposure. Therefore, magnetic resonance imaging (MRI) has currently… read more here.
Keywords: age; shoulder joint; mri images; mri ... See more keywords
Computer-based automated estimation of breast vascularity and correlation with breast cancer in DCE-MRI images.
Sign Up to like & getrecommendations! Published in 2017 at "Magnetic resonance imaging"
DOI: 10.1016/j.mri.2016.08.007
Abstract: Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) with gadolinium constitutes one of the most promising protocols for boosting up the sensitivity in breast cancer detection. The aim of this study was twofold: first to design… read more here.
Keywords: dce mri; breast; breast cancer; mri images ... See more keywords