Results 81 to 90 of about 366,438 (285)

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Many libraries, museums, and other organizations contain large collections of handwritten historical documents, for example, the papers of early presidents like George Washington at the Library of Congress.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   +3 more sources

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 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

Brainstem and Cerebellar Volume Loss and Associated Clinical Features in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Progressive Supranuclear Palsy (PSP) is a neurodegenerative ‘tauopathy’ with predominating pathology in the basal ganglia and midbrain. Caudal tau spread frequently implicates the cerebellum; however, the pattern of atrophy remains equivocal.
Chloe Spiegel, Timothy P. Siejka, Cassandra Marotta, Josh J. Y. Lee, Kelly Bertram, Terence J. O'Brien, Meng Law, Lucy Vivash, Ian H. Harding   +8 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

SLIC segmentation method for full-polarised remote-sensing image

The Journal of Engineering, 2019
The rapid development of remote-sensing data acquisition technology means that the resolution of remote-sensing image has been continuously improved, resulting in the large scale of remote-sensing image data and the increase of redundant information ...
Zhanyang Zhang, Jiaqi Chen, Zhiwei Liu
doaj   +1 more source

Diffusion Spectrum Imaging Maps Early Axonal Loss and a Unique Progressive Signal in Neuronal Intranuclear Inclusion Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang, Yixiu Pei, Xiaobao Hu, Ying Xiong, Fang Wang, Yanyan Yu, Min Zhu, Dandan Tan, Meihong Zhou, Daojun Hong, Fuqing Zhou   +10 more
wiley   +1 more source

Visual state space models with spiral selective scan for referring remote-sensing image segmentation

Geo-spatial Information Science
Referring remote-sensing image segmentation (RRSIS) aims to accurately localize and delineate ground targets within remote-sensing imagery conditioned on natural language expressions.
Weihao Shen, Ailong Ma, Zhuo Zheng, Junjue Wang, Yanfei Zhong   +4 more
doaj   +1 more source

Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende, Emilien Petit, Young Woo Park, Sophie Tezenas du Montcel, James M. Joers, Jonathan M. DuBois, H. Moore Arnold, Michal Povazan, Ipek Özdemir, Guita Banan, Romain Valabregue, Philipp Ehses, Jennifer Faber, Chiadi U. Onyike, Peter B. Barker, Jeremy D. Schmahmann, Eva‐Maria Ratai, Sub H. Subramony, Thomas H. Mareci, Khalaf O. Bushara, Henry Paulson, Thomas Klockgether, Alexandra Durr, Tetsuo Ashizawa, Christophe Lenglet, Gülin Öz, READISCA Investigators   +26 more
wiley   +1 more source