Results 91 to 100 of about 340,289 (296)

Unsupervised Morphological Multiscale Segmentation of Scanning Electron Microscopy Images

open access: yes, 2014
This paper deals with a problem of unsupervised multiscale segmentation in the domain of scanning electron microscopy, which is tackled by mathematical morphology techniques. The proposed approach includes various steps.
Angulo, Jesus   +2 more
core   +1 more source

Glial Fibrillary Acidic Protein Astrocytopathy Based on a Two‐Center Chinese Cohort Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glial fibrillary acidic protein astrocytopathy (GFAP‐A) is a recently defined nosological form belonging to the class of autoimmune inflammatory disorders affecting the central nervous system (CNS). Here, we report the clinical and MRI characteristics, treatment, and prognosis of a GFAP‐A cohort from two centers in China.
Ti Wu   +13 more
wiley   +1 more source

U-MoEMamba: A Hybrid Expert Segmentation Model for Cabbage Heads in Complex UAV Low-Altitude Remote Sensing Scenarios

open access: yesAgriculture
To address the challenges of missed and incorrect segmentation in cabbage head detection under complex field conditions using UAV-based low-altitude remote sensing, this study proposes U-MoEMamba, an innovative dynamic state-space framework with a ...
Rui Li   +3 more
doaj   +1 more source

Understanding Mechanisms of Whole Brain and Regional Grey Matter Atrophy in Children With MOGAD

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the mechanisms driving whole brain and regional grey matter (GM) volume changes along with their clinical correlates in paediatric myelin oligodendrocyte glycoprotein antibody (MOG‐Ab)–associated disease (MOGAD). Methods One‐hundred‐nine paediatric MOGAD patients from two UK centres underwent MRI at attack nadir and ...
Ermelinda De Meo   +14 more
wiley   +1 more source

SLGMA-UNet: Comprehensive Feature Aggregation With Context-Sensitive Attention for Medical Image Segmentation

open access: yesIEEE Access
Medical image segmentation is essential for clinical diagnosis and treatment planning. Existing segmentation methods encounter challenges such as managing size variations, interpreting contextual relationships, and integrating multi-source data.
Xinghuo Ye, Na Wang
doaj   +1 more source

Remaining Burden of Spinal Muscular Atrophy Among Treated Patients: A Survey of Patients and Caregivers

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinal muscular atrophy (SMA) significantly impacts motor function. This study aimed to assess the persistent burden and unmet needs among currently treated patients with SMA and their caregivers. Methods Two complementary web‐based surveys were distributed in August 2024 among patients with SMA and their caregivers.
Julie A. Parsons   +8 more
wiley   +1 more source

Back to geometry: Efficient indoor space segmentation from point clouds by 2D–3D geometry constrains

open access: yesInternational Journal of Applied Earth Observations and Geoinformation
This paper addresses the challenge of indoor space segmentation from 3D point clouds, which is essential for understanding interior layouts, reconstructing 3D structures, and developing indoor navigation maps.
Shengjun Tang   +8 more
doaj   +1 more source

Quantitative Shape Irregularity and Density Heterogeneity Predict Hematoma Expansion in Patients With Intracerebral Hemorrhage

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Purpose This study aimed to explore the association between quantitative shape irregularity and density heterogeneity of hematomas and hematoma expansion (HE) for intracerebral hemorrhage (ICH) patients. Methods This cohort study included patients arriving within 24 h of symptom onset between August 2021 and July 2022 as the derivation cohort ...
Zeqiang Ji   +11 more
wiley   +1 more source

Pulmonary Vessel Segmentation via Stage-Wise Convolutional Networks With Orientation-Based Region Growing Optimization

open access: yesIEEE Access, 2018
For large-scale medical images, automatic pulmonary vessel segmentation is a fundamental and essential research for various pulmonary disease diagnoses.
Yajun Xu   +3 more
doaj   +1 more source

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