In vivo estimation of normal amygdala volume from structural MRI scans with anatomical-based segmentation
Sign Up to like & getrecommendations! Published in 2017 at "Surgical and Radiologic Anatomy"
DOI: 10.1007/s00276-017-1915-y
Abstract: PurposeLiterature includes a number of studies using structural MRI (sMRI) to determine the volume of the amygdala, which is modified in various pathologic conditions. The reported values vary widely mainly because of different anatomical approaches… read more here.
Keywords: normal amygdala; based segmentation; volume; structural mri ... See more keywords
Fractional empirical mode decomposition energy entropy based on segmentation and its application to the electrocardiograph signal
Sign Up to like & getrecommendations! Published in 2018 at "Nonlinear Dynamics"
DOI: 10.1007/s11071-018-4448-y
Abstract: The generalized fractional entropy is a powerful tool for allowing an high sensitivity to the signal evolution, which is available to depict the dynamics of complex systems. Besides, empirical mode decomposition (EMD) energy entropy has… read more here.
Keywords: emd energy; based segmentation; energy entropy; entropy ... See more keywords
Atlas-based segmentation of temporal bone surface structures
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Computer Assisted Radiology and Surgery"
DOI: 10.1007/s11548-019-01978-2
Abstract: PurposeTo develop a time-efficient automated segmentation approach that could identify surface structures on the temporal bone for use in surgical simulation software and preoperative surgical training.MethodsAn atlas-based segmentation approach was developed to segment the tegmen,… read more here.
Keywords: based segmentation; temporal bone; bone; surface structures ... See more keywords
Texture appearance model, a new model-based segmentation paradigm, application on the segmentation of lung nodule in the CT scan of the chest
Sign Up to like & getrecommendations! Published in 2022 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2021.105086
Abstract: Lung cancer causes more than one million deaths worldwide each year. Averages of 5-year survival rate of patients with Non-small cell lung cancer (NSCLC), which is the most common type of lung cancer, is 15%.… read more here.
Keywords: lung; texture; model based; model ... See more keywords
Dynamic Programming Based Segmentation in Biomedical Imaging
Sign Up to like & getrecommendations! Published in 2017 at "Computational and Structural Biotechnology Journal"
DOI: 10.1016/j.csbj.2017.02.001
Abstract: Many applications in biomedical imaging have a demand on automatic detection of lines, contours, or boundaries of bones, organs, vessels, and cells. Aim is to support expert decisions in interactive applications or to include it… read more here.
Keywords: programming based; based segmentation; segmentation biomedical; biomedical imaging ... See more keywords
Understanding coastal change using shoreline trend analysis supported by cluster-based segmentation
Sign Up to like & getrecommendations! Published in 2017 at "Geomorphology"
DOI: 10.1016/j.geomorph.2016.12.029
Abstract: Abstract Shoreline change analysis is a well defined and widely adopted approach for the examination of trends in coastal position over different timescales. Conventional shoreline change metrics are best suited to resolving progressive quasi-linear trends.… read more here.
Keywords: based segmentation; coastal change; change; analysis ... See more keywords
Firefly optimization-based segmentation technique to analyse medical images of breast cancer
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Computer Mathematics"
DOI: 10.1080/00207160.2020.1817411
Abstract: Nature-inspired algorithms emulate the mathematical and innovative techniques for non-linear and real-life problems worldwide. Imaging technology is emerging out as one of the most prominent and widely used domain in medical field such as cancerous… read more here.
Keywords: technique; based segmentation; segmentation technique; segmentation ... See more keywords
Unsupervised Visual Representation Learning Based on Segmentation of Geometric Pseudo-Shapes for Transformer-Based Medical Tasks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2023.3237596
Abstract: Recently, transformer-based architectures have been shown to outperform classic convolutional architectures and have rapidly been established as state-of-the-art models for many medical vision tasks. Their superior performance can be explained by their ability to capture… read more here.
Keywords: visual representation; based segmentation; unsupervised visual; transformer based ... See more keywords
Learning Based Segmentation of CT Brain Images: Application to Postoperative Hydrocephalic Scans
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2017.2783305
Abstract: Objective: Hydrocephalus is a medical condition in which there is an abnormal accumulation of cerebrospinal fluid (CSF) in the brain. Segmentation of brain imagery into brain tissue and CSF [before and after surgery, i.e., preoperative… read more here.
Keywords: brain images; based segmentation; segmentation; segmentation brain ... See more keywords
Lesion-Decoupling-Based Segmentation With Large-Scale Colon and Esophageal Datasets for Early Cancer Diagnosis.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3248804
Abstract: Lesions of early cancers often show flat, small, and isochromatic characteristics in medical endoscopy images, which are difficult to be captured. By analyzing the differences between the internal and external features of the lesion area,… read more here.
Keywords: lesion decoupling; based segmentation; segmentation; lesion ... See more keywords
Determining posterior vitreous structure by analysis of images obtained by AI-based 3D segmentation and ultrawidefield optical coherence tomography
Sign Up to like & getrecommendations! Published in 2021 at "British Journal of Ophthalmology"
DOI: 10.1136/bjophthalmol-2021-320131
Abstract: Aims To determine the three-dimensional (3D) structure of the vitreous fluid including the posterior precortical vitreous pockets (PPVP), Cloquet’s canal and cisterns in healthy subjects by AI-based segmentation of the vitreous of swept-source optical coherence… read more here.
Keywords: based segmentation; optical coherence; structure; coherence tomography ... See more keywords