Results 81 to 90 of about 340,289 (296)

The MSA Atrophy Index (MSA‐AI): An Imaging Marker for Diagnosis and Clinical Progression in Multiple System Atrophy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Reliable biomarkers are essential for tracking disease progression and advancing treatments for multiple system atrophy (MSA). In this study, we propose the MSA Atrophy Index (MSA‐AI), a novel composite volumetric measure to distinguish MSA from related disorders and monitor disease progression. Methods Seventeen participants with an
Paula Trujillo, Kilian Hett, Amy Cooper, Amy E. Brown, Jessica Iregui, Manus J. Donahue, M. Erik Landman, Italo Biaggioni, Margaret Bradbury, Cynthia Wong, David Stamler, Daniel O. Claassen   +11 more
wiley   +1 more source

MSGM-Net: multi-scale general-modal network for disease and organ segmentation

Complex & Intelligent Systems
General and effective medical image segmentation methods achieve pixel-level accurate segmentation of lesions or organs. Existing 2-D networks have demonstrated their effectiveness on single-modal segmentation tasks, but difficult to exploit ...
Dayu Tan, Xiaoping Zhou, Chao Jiang, Xin Peng, Yansen Su, Weimin Zhong   +5 more
doaj   +1 more source

A novel super-resolution urban green space segmentation network generating 0.2m resolution urban green space results using low-resolution imagery

Geocarto International
Accurate mapping of urban green space (UGS) is crucial for urban planning and ecology. High-resolution drone images are often used for UGS identification, but their high cost limits large-scale mapping.
Chunyang Chen, Guangbin Yang, Panfang Chen, Lei Zhan, Man Li, Juan Li   +5 more
doaj   +1 more source

Cervical Spinal Cord Magnetization Transfer Ratio and Its Relationship With Clinical Outcomes in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The cervical spinal cord (cSC) is highly relevant to clinical dysfunction in multiple sclerosis (MS) but remains understudied using quantitative magnetic resonance imaging (MRI). We assessed magnetization transfer ratio (MTR), a semi‐quantitative MRI measure sensitive to MS‐related tissue microstructural changes, in the cSC and its ...
Lisa Eunyoung Lee, Julien Cohen‐Adad, Irene M. Vavasour, Melanie Guenette, Katherine Sawicka, Neda Rashidi‐Ranjbar, Nathan Churchill, Akash Chopra, Adelia Adelia, Pierre‐Louis Benveniste, Anthony Traboulsee, Nathalie Arbour, Fabrizio Giuliani, Larry D. Lynd, Scott B. Patten, Alexandre Prat, Alice Schabas, Penelope Smyth, Roger Tam, Yunyan Zhang, Simon J. Graham, Mojgan Hodaie, Anthony Feinstein, Shannon Kolind, Tom A. Schweizer, Jiwon Oh, CanProCo Study Group   +26 more
wiley   +1 more source

State-Space Model Meets Linear Attention: A Hybrid Architecture for Internal Wave Segmentation

Remote Sensing
Internal waves (IWs) play a crucial role in the transport of energy and matter within the ocean while also posing significant risks to marine engineering, navigation, and underwater communication systems.
Zhijie An, Zhao Li, Saheya Barintag, Hongyu Zhao, Yanqing Yao, Licheng Jiao, Maoguo Gong   +6 more
doaj   +1 more source

DeepBrainSeg: Automated Brain Region Segmentation for Micro-Optical Images With a Convolutional Neural Network

Frontiers in Neuroscience, 2020
The segmentation of brain region contours in three dimensions is critical for the analysis of different brain structures, and advanced approaches are emerging continuously within the field of neurosciences.
Chaozhen Tan, Chaozhen Tan, Yue Guan, Yue Guan, Zhao Feng, Zhao Feng, Hong Ni, Hong Ni, Zoutao Zhang, Zoutao Zhang, Zhiguang Wang, Zhiguang Wang, Xiangning Li, Xiangning Li, Xiangning Li, Jing Yuan, Jing Yuan, Jing Yuan, Hui Gong, Hui Gong, Hui Gong, Qingming Luo, Qingming Luo, Anan Li, Anan Li, Anan Li   +25 more
doaj   +1 more source

A scale space approach for automatically segmenting words from historical handwritten documents

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005
Many libraries, museums, and other organizations contain large collections of handwritten historical documents, for example, the papers of early presidents like George Washington at the Library of Congress. The first step in providing recognition/ retrieval tools is to automatically segment handwritten pages into words.
Manmatha, R., Rothfeder, Jamie L.
openaire   +4 more sources

Fixel‐Based Analysis of Diffusion Imaging as a Quantitative Marker of Disease State in Spinocerebellar Ataxia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxias (SCAs) are a group of genetically heterogeneous neurodegenerative diseases causing progressive deterioration and reduced quality of life. Therapeutic advances have been limited by a lack of sensitive anatomic, functional, or diffusion imaging‐based biomarkers.
David J. Arpin, S. H. Subramony, the READISCA Consortium, David E. Vaillancourt, Tetsuo Ashizawa, Alexandra Durr, Thomas Mareci, Thomas Klockgether, Jennifer Faber, Henry L. Paulson, Gülin Öz, Matthew R. Burns   +11 more
wiley   +1 more source

Correlation Between Irisin and Cognitive Functions in Alzheimer Dementia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The myokine irisin, a recent positive mediator of exercise in the brain, shows neuroprotective functions against Alzheimer's disease (AD). The association between irisin and cognition has never been explored in a biologically defined cohort of patients.
Patrizia Pignataro, Manuela Dicarlo, Chiara Zecca, Daniele Urso, Maria Teresa Dell'Abate, Davide Vilella, Francesco Borlizzi, Roberta Zerlotin, Angela Oranger, Graziana Colaianni, Silvia Colucci, Maria Grano, Giancarlo Logroscino   +12 more
wiley   +1 more source

A Spark-Based Parallel Fuzzy $c$ -Means Segmentation Algorithm for Agricultural Image Big Data

IEEE Access, 2019
With the explosive growth of image big data in the agriculture field, image segmentation algorithms are confronted with unprecedented challenges. As one of the most important images segmentation technologies, the fuzzy c-means (FCMs) algorithm has been ...
Bin Liu, Songrui He, Dongjian He, Yin Zhang, Mohsen Guizani   +4 more
doaj   +1 more source