Results 151 to 160 of about 758,831 (346)
Differential evolution-based neural architecture search for brain vessel segmentation
Brain vasculature analysis is critical in developing novel treatment targets for neurodegenerative diseases. Such an accurate analysis cannot be performed manually but requires a semi-automated or fully-automated approach.
Zeki Kuş+7 more
doaj
Scaling Model Checking for Neural Network Analysis via State-Space Reduction and Input Segmentation
Mahum Naseer+2 more
openalex +2 more sources
Histone Deacetylase 6 Brain PET in Amyotrophic Lateral Sclerosis‐Frontotemporal Spectrum Disorder
ABSTRACT Objective [18F]EKZ‐001 is a positron emission tomography (PET) tracer targeting histone deacetylase 6 (HDAC6), an enzyme responsible for intracellular transport and clearance of misfolded proteins. HDAC6 modulation is a promising treatment strategy in neurodegenerative disorders, including amyotrophic lateral sclerosis (ALS).
Greet Vanderlinden+15 more
wiley +1 more source
Adaptive GridMap Building Algorithm for Mobile Robot Based on Multiway Tree
In order to solve the problem that uniform grid map occupies large storage space in the process of large-scale map creation, a new adaptive grid map building algorithm based on multiway tree is proposed.
Zhou Jing+3 more
doaj +1 more source
ABSTRACT Objective Amygdala enlargement has been the subject of controversial studies regarding its significance in terms of pathogenicity both in epilepsy and in psychiatric comorbidities such as anxiety, depression, and post‐traumatic stress disorder.
Hélène Mourre+15 more
wiley +1 more source
Flow-free Video Object Segmentation [PDF]
Segmenting foreground object from a video is a challenging task because of the large deformations of the objects, occlusions, and background clutter. In this paper, we propose a frame-by-frame but computationally efficient approach for video object segmentation by clustering visually similar generic object segments throughout the video.
arxiv
USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation [PDF]
The open-vocabulary image segmentation task involves partitioning images into semantically meaningful segments and classifying them with flexible text-defined categories. The recent vision-based foundation models such as the Segment Anything Model (SAM) have shown superior performance in generating class-agnostic image segments.
arxiv
ABSTRACT Background Myelin oligodendrocyte glycoprotein antibody‐associated disease (MOGAD) can radiographically mimic multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD). The disease hallmarks cortical lesion, central vein sign (CVS) and paramagnetic rim lesions identified in MS have not yet been comprehensively investigated in ...
Lei Su+19 more
wiley +1 more source
SARS‐CoV‐2 Is Linked to Brain Volume Loss in Multiple Sclerosis
ABSTRACT Objective The impact of SARS‐CoV‐2 infection on brain and spinal cord pathology in patients with multiple sclerosis (pwMS) remains unclear. We aimed to describe changes in brain lesion activity and brain and spinal cord volumes following SARS‐CoV‐2 infection.
Tomas Uher+12 more
wiley +1 more source
A Review on Recent Deep Learning-Based Semantic Segmentation for Urban Greenness Measurement
Accurate urban green space (UGS) measurement has become crucial for landscape analysis. This paper reviews the recent technological breakthroughs in deep learning (DL)-based semantic segmentation, emphasizing efficient landscape analysis, and integrating
Doo Hong Lee+2 more
doaj +1 more source