Optimization and validation of automated hippocampal subfield segmentation across the lifespan
Sign Up to like & getrecommendations! Published in 2018 at "Human Brain Mapping"
DOI: 10.1002/hbm.23891
Abstract: Automated segmentation of hippocampal (HC) subfields from magnetic resonance imaging (MRI) is gaining popularity, but automated procedures that afford high speed and reproducibility have yet to be extensively validated against the standard, manual morphometry. We… read more here.
Keywords: validity; segmentation; manual morphometry; automated segmentation ... See more keywords
Accuracy and bias of automatic hippocampal segmentation in children and adolescents
Sign Up to like & getrecommendations! Published in 2018 at "Brain Structure and Function"
DOI: 10.1007/s00429-018-1802-2
Abstract: The hippocampus (Hc) is of great importance in various psychiatric diseases in adults, children and adolescents. Automated Hc segmentation has been widely used in adults, implying sufficient overlap with manual segmentation. However, estimation biases related… read more here.
Keywords: volume; segmentation; maget brain; children adolescents ... See more keywords
Automated Segmentation of High-Resolution Photospheric Images of Active Regions
Sign Up to like & getrecommendations! Published in 2018 at "Solar Physics"
DOI: 10.1007/s11207-017-1236-7
Abstract: Due to the development of ground-based, large-aperture solar telescopes with adaptive optics (AO) resulting in increasing resolving ability, more accurate sunspot identifications and characterizations are required. In this article, we have developed a set of… read more here.
Keywords: resolution; high resolution; photospheric images; optics ... See more keywords
Multi-target Interactive Neural Network for Automated Segmentation of the Hippocampus in Magnetic Resonance Imaging
Sign Up to like & getrecommendations! Published in 2019 at "Cognitive Computation"
DOI: 10.1007/s12559-019-09645-z
Abstract: The hippocampus has been recognized as an important biomarker for the diagnosis and assessment of neurological diseases. Convenient and accurate automated segmentation of the hippocampus facilitates the analysis of large-scale neuroimaging studies. This work describes… read more here.
Keywords: network; hippocampus; segmentation; magnetic resonance ... See more keywords
Automated Segmentation of Tissues Using CT and MRI: A Systematic Review.
Sign Up to like & getrecommendations! Published in 2019 at "Academic radiology"
DOI: 10.1016/j.acra.2019.07.006
Abstract: RATIONALE AND OBJECTIVES The automated segmentation of organs and tissues throughout the body using computed tomography and magnetic resonance imaging has been rapidly increasing. Research into many medical conditions has benefited greatly from these approaches… read more here.
Keywords: research; segmentation; systematic review; radiology ... See more keywords
Automated segmentation of villi in histopathology images of placenta
Sign Up to like & getrecommendations! Published in 2019 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2019.103420
Abstract: PURPOSE Manual analysis of clinical placenta pathology samples under the microscope is a costly and time-consuming task. Computer-aided diagnosis might offer a means to obtain fast and reliable results and also substantially reduce inter- and… read more here.
Keywords: villous structures; histopathology; method; automated segmentation ... See more keywords
Automated segmentation of acute stroke lesions using a data-driven anomaly detection on diffusion weighted MRI
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2019.108575
Abstract: BACKGROUND Successful delineation of lesions in acute ischemic strokes (AIS) is crucial for increasing the likelihood of good clinical outcome for the patient. NEW METHODS We developed a fully automated method to localize and segment… read more here.
Keywords: segmentation; lesions using; segmentation acute; acute stroke ... See more keywords
Semi-automated segmentation of the lateral periventricular regions using diffusion magnetic resonance imaging
Sign Up to like & getrecommendations! Published in 2020 at "MethodsX"
DOI: 10.1016/j.mex.2020.101023
Abstract: Graphical abstract Segmentation of the Lateral Ventricular Perimeter (LVP), on an axial mean diffusivity map of an infant with postheorrhgaic hydrocephalus (PHH). A MATLAB-based script segments a homogenous LVP layer using high spatial resolution parameters… read more here.
Keywords: diffusion; periventricular regions; segmentation lateral; semi automated ... See more keywords
Automated segmentation of the corneal endothelium in a large set of ‘real-world’ specular microscopy images using the U-Net architecture
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-41034-2
Abstract: Monitoring the density of corneal endothelial cells (CEC) is essential in the management of corneal diseases. Its manual calculation is time consuming and prone to errors. U-Net, a neural network for biomedical image segmentation, has… read more here.
Keywords: real world; microscopy; segmentation; large set ... See more keywords
Deep convolutional neural network-based automated segmentation and classification of teeth with orthodontic brackets on cone-beam computed-tomographic images: a validation study.
Sign Up to like & getrecommendations! Published in 2022 at "European journal of orthodontics"
DOI: 10.1093/ejo/cjac047
Abstract: OBJECTIVE Tooth segmentation and classification from cone-beam computed tomography (CBCT) is a prerequisite for diagnosis and treatment planning in the majority of digital dental workflows. However, an accurate and efficient segmentation of teeth in the… read more here.
Keywords: segmentation classification; classification; segmentation; classification teeth ... See more keywords
Automated Segmentation of spinal Muscles from Upright Open MRI Using a Multi-Scale Pyramid 2D Convolutional Neural Network.
Sign Up to like & getrecommendations! Published in 2021 at "Spine"
DOI: 10.1097/brs.0000000000004308
Abstract: STUDY DESIGN Randomized trial. OBJECTIVE To implement an algorithm enabling the automated segmentation of spinal muscles from open MR images in healthy volunteers and patients with adult spinal deformity (ASD). SUMMARY OF BACKGROUND DATA Understanding… read more here.
Keywords: automated segmentation; upright open; segmentation; spinal muscles ... See more keywords