Results 61 to 70 of about 212,434 (273)

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

Aging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel, S. Tissera, E. Paul, J. Zalcberg, R. G. Stirling   +4 more
wiley   +1 more source

KOMPSAT-3/3A Image-text Dataset for Training Large Multimodal Models [PDF]

Geo Data
This study aims to improve the accuracy and interpretability of large multimodal models (LMMs) specialized in satellite image analysis by constructing an image-text dataset based on KOMPSAT-3/3A imagery and presenting the results of training using this ...
Han Oh, Dong-Bin Shin, Dae-Won Chung
doaj   +1 more source

Achieving the state of research pertaining to GIS applications for cultural heritage by a systematic literature review [PDF]

, 2018
During the last decade, we have witnessed an increased interest in Geographic Information Systems (GIS), including the so-called “Historical GIS”, 3D GIS heritage and its subcategory of “SDI for cultural heritage”.
Ferreira Lopes, Patricia
core   +3 more sources

Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein, Maximilian Mönch, Meret Herdick, Frauke Stascheit, Sarah Hoffmann, Hannah Preßler, Philipp Mergenthaler, Carla Dusemund, Paolo Doksani, Haoqi Sun, Pushpa Narayanaswami, Andreas Meisel, Lea Gerischer, Sophie Lehnerer   +13 more
wiley   +1 more source

Identifying optimal classification rules for geographic object-based image analysis [PDF]

, 2013
In Geographic Object-based Image Analysis (GEOBIA), remote sensing experts benefit from a large spectrum of characteristics to interpret images (spectral information, texture, geometry, spatial relations, etc). However, the quality of a classification is not always increased by considering a higher number of features.
Arvor, Damien, Saint-Geours, N., Dupuy, S., Andrés, S., Durieux, Laurent   +4 more
openaire   +2 more sources

Geographic Object Based Image Analysis (GEOBIA) for Mangrove Canopy Delineation Using Aerial Photography

IOP Conference Series: Earth and Environmental Science, 2019
Abstract Mangrove canopy cover is one of the important indicators for monitoring mangrove ecosystem’s health. Measuring and monitoring mangrove canopy cover using direct field measurement is tedious and inefficient work. This study implements the advanced geographic object-based image analysis (GEOBIA) approach to a very high-spatial ...
M Kamal, T Kanekaputra, R Hermayani, A Juniansah   +3 more
openaire   +1 more source

Clinical Spectrum and Outcomes of SOX1 Antibody‐Associated Paraneoplastic Neurological Syndromes: A Chinese Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background SOX1 antibody‐positive paraneoplastic neurological syndromes (PNS) exhibit significant population‐specific clinical heterogeneity. While Western cohorts predominantly manifest Lambert‐Eaton myasthenic syndrome (65%–80%), comprehensive clinical characterization and treatment response data in Asian populations remain critically ...
Jin‐Long Ye, Zu‐Ying Kuang, Bo Li, Meng‐Qiu Pan, Li‐Hua Zhou, Yang‐Yang Dai, Si‐Fen Xie, Xian‐Guang Lin, Ye‐Peng Hu, Li‐Hong Jiang, Zhan‐Hang Wang, Wei‐Jing Zhang   +11 more
wiley   +1 more source

Image Segmentation and Object-Based Image Analysis for Environmental Monitoring: Recent Areas of Interest, Researchers’ Views on the Future Priorities

Remote Sensing, 2020
Image segmentation and geographic object-based image analysis (GEOBIA) were proposed around the turn of the century as a means to analyze high-spatial-resolution remote sensing images.
Brian Alan Johnson, Lei Ma
doaj   +1 more source

Object-based assessment of tree attributes of Acacia tortilis in Bou-Hedma, Tunisia [PDF]

, 2010
Acacia tortilis subsp. raddiana represents the most important woody species in the pre-Saharan zone. It is the only forest tree persisting on the edge of the desert.
De Smet, Koen, De Wulf, Robert, Delaplace, Kevin, Gabriëls, Donald, Houcine, Taamallah, Ouessar, Mohammed, Ouled Belgacem, Azaiez, Vancoillie, Frieke   +7 more
core  

Feasibility and Tolerability of Performing Portable MRI for Neurological Disorders in an Outpatient Neurology Clinic: A Prospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Accessing brain magnetic resonance imaging (MRI) can be challenging, especially for underserved patients, which may lead to disparities in neurological diagnosis. Method This mixed‐methods study enrolled adults with one of four neurological disorders: mild cognitive impairment or dementia of the Alzheimer type, multiple sclerosis ...
Maya L. Mastick, Nomin Enkhtsetseg, Joseph Sadok, Matheus Mochetti, Annabel Sorby Adams, Jennifer Guo, Cristina Trapaga Hacker, Isabella Gomez Hjerthen, Seungwon Lee, Siddharth Satish, Andrew S. Ham, Justin Hill, Denis Balaban, Kevin Kyle, Rebecca L. Gillani, Marcelo Matiello, Aleksandar Videnovic, Eric C. Klawiter, W. Taylor Kimberly, Farrah J. Mateen   +19 more
wiley   +1 more source