Results 71 to 80 of about 107,245 (331)

AUTOMATIC IMAGE ANNOTATION MENGGUNAKAN METODE BLOCK TRUNCATION DAN K-NEAREST NEIGHBOR

Lontar Komputer, 2015
Sistem temu kembali citra digital berbasis text sangat bergantung pada label dari gambar digital. Dalam penelitian ini, diterapkan gabungan beberapa metode untuk pelabelan sebuah gambar secara otomatis, istilah yang sering digunakan adalah automatic ...
Duman Care Khrisne, Darma Putra
doaj  

Automatic detection, segmentation, and characterization of 3-nitro-1,2,4-triazol-5-one (NTO) crystal particles during cooling crystallization using deep learning

Energetic Materials Frontiers
The complex cooling crystallization process of 3-nitro-1,2,4-triazol-5-one (NTO) directly affects its performance. The introduction of process analysis technology is expected to provide an effective solution for process monitoring and optimization.
Zhe Zhang, Qing-hai Shu, Wei Wu, Hao-ming Zou, Xi-juan Lv, Shuai Zhao, Jing Wang, Man-man Wang, Shu-sen Chen   +8 more
doaj   +1 more source

Image retrieval based on weighted nearest neighbor tag prediction

Journal of Intelligent Systems, 2022
With the development of communication and computer technology, the application of big data technology has become increasingly widespread. Reasonable, effective, and fast retrieval methods for querying information from massive data have become an ...
Yao Qi, Jiang Dayang, Ding Xiancheng
doaj   +1 more source

Real‐World Performance of CSF Kappa Free Light Chains in the 2024 McDonald Criteria

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Kappa free light chains (KFLCs) in the cerebrospinal fluid (CSF) have a similar performance to CSF‐restricted oligoclonal bands (OCB) for multiple sclerosis (MS) diagnosis. To help with implementation, we set out to resolve several remaining uncertainties: (1) performance in a real‐world cohort and the 2024 McDonald criteria; (2 ...
Maya M. Leibowitz, Ryan Cooper, Stefania Kaninia, Kathryn I. Challis, Will Greenway, Maria Bonello, Mahmoud Elbahnasawi, Deborah T. Shode, Dominika Gajdasik, Victor Iliev, Alison M. E. Whitelegg, Ian Galea   +11 more
wiley   +1 more source

A Semi-Automatic Magnetic Resonance Imaging Annotation Algorithm Based on Semi-Weakly Supervised Learning

Sensors
The annotation of magnetic resonance imaging (MRI) images plays an important role in deep learning-based MRI segmentation tasks. Semi-automatic annotation algorithms are helpful for improving the efficiency and reducing the difficulty of MRI image ...
Shaolong Chen, Zhiyong Zhang
doaj   +1 more source

SISTEM PEMBANGKIT ANOTASI PADA ARTIKEL BERGAMBAR DENGAN PENDEKATAN KONTEKSTUAL

JUTI: Jurnal Ilmiah Teknologi Informasi, 2011
Development of E-learning sites and their materials make it is necessary to help users finding the desired materials. Context-based search engine will help users for the finding task. However that kind of searching can only be done for learning materials
Diana Purwitasari, Dian Saputra, Esti Yuniar, Umi Laili Yuhana, Daniel Siahaan   +4 more
doaj   +1 more source

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

Architecture to improve the accuracy of automatic image annotation systems

IET Computer Vision, 2020
Automatic image annotation (AIA) is an image retrieval mechanism to extract relative semantic tags from visual content. So far, the improvement of accuracy in newly developed such methods have been about 1 or 2% in the F1‐score and the architectures seem
Artin Ghostan Khatchatoorian, Mansour Jamzad   +1 more
doaj   +1 more source

MIRACLE’s Naive Approach to Medical Images Annotation

, 2005
One of the proposed tasks of the ImageCLEF 2005 campaign has been an Automatic Annotation Task. The objective is to provide the classification of a given set of 1,000 previously unseen medical (radiological) images according to 57 predefined categories ...
González Cristóbal, José Carlos, Goñi Menoyo, José Miguel, Martínez Fernández, José Luis, Villena Román, Julio   +3 more
core  

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu, Yinjiao Fei, Jiaxuan Ding, Kexin Shi, Jinyan Luo, Yuchen Zhu, Xingjian Sun, Gefei Jiang, Yuandong Cao, Weilin Xu, Shu Zhou   +10 more
wiley   +1 more source