Results 41 to 50 of about 262,026 (340)
Digital radiography image quality evaluation using various phantoms and software
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose To investigate the effect of the exposure parameters on image quality (IQ) metrics of phantom images, obtained automatically using software or from visual evaluation. Methods Three commercial phantoms and a homemade phantom constructed according to the instructions given in the IAEA Human Health Series No.
Ioannis A. Tsalafoutas +4 more
wiley +1 more source
Expériences sur l’analyse morphosyntaxique des corpus oraux avec l’annotateur multi-niveaux DisMo
Corela, 2017 Annotating spoken corpora poses unique challenges stemming from the particular characteristics of spontaneous speech and its transcription. Automatic annotation tools need to adapt to these challenges. At the same time, it is desirable to define a “least
George Christodoulides, Giulia Barreca
doaj +1 more source
Automatic Image Annotation Based on Co-Training
Journal of Algorithms & Computational Technology, 2014 Automatic image annotation is a critical and challenging problem in pattern recognition and image understanding areas. There are some problems in existing automatic image annotation areas.
Xiao Ke, Guolong Chen
doaj +1 more source
Beat-Level Interpretation of Intra-Patient Paradigm Based on Object Detection
Frontiers in Cardiovascular Medicine, 2022 Electrocardiogram (ECG), as a product that can most directly reflect the electrical activity of the heart, has become the most common clinical technique used for the analysis of cardiac abnormalities. However, it is a heavy and tedious burden for doctors
Man Kang +8 more
doaj +1 more source
How Good is Automatic Segmentation as a Multimodal Discourse Annotation Aid? [PDF]
arXiv, 2023 Collaborative problem solving (CPS) in teams is tightly coupled with the creation of shared meaning between participants in a situated, collaborative task. In this work, we assess the quality of different utterance segmentation techniques as an aid in annotating CPS. We (1) manually transcribe utterances in a dataset of triads collaboratively solving a
arxiv
GFam: a platform for automatic annotation of gene families [PDF]
Nucleic Acids Research, 2012 We have developed GFam, a platform for automatic annotation of gene/protein families. GFam provides a framework for genome initiatives and model organism resources to build domain-based families, derive meaningful functional labels and offers a seamless approach to propagate functional annotation across periodic genome updates.
Sasidharan, Rajkumar +4 more
openaire +21 more sources
Quality and Efficiency of Manual Annotation: Pre-annotation Bias [PDF]
arXiv, 2023 This paper presents an analysis of annotation using an automatic pre-annotation for a mid-level annotation complexity task -- dependency syntax annotation. It compares the annotation efforts made by annotators using a pre-annotated version (with a high-accuracy parser) and those made by fully manual annotation. The aim of the experiment is to judge the
arxiv
Using text search for personal photo collections with the MediAssist system [PDF]
, 2007 The MediAssist system enables organisation and searching of personal digital photo collections based on contextual information, content-based analysis and semi-automatic annotation.
Gurrin, Cathal +5 more
core +1 more source
A Multilabel Learning-Based Automatic Annotation Method for Semantic Roles in English Text
IEEE Access, 2023 With the increasing amount of textual information in the Internet, smart semantic comprehension is a practical demand. Among, automatic annotation for semantic roles remains the fundamental part for effective semantic comprehension.
Li Lei, Hao Wang
doaj +1 more source
Automatic human face detection for content-based image annotation [PDF]
, 2008 In this paper, an automatic human face detection approach using colour analysis is applied for content-based image annotation. In the face detection, the probable face region is detected by adaptive boosting algorithm, and then combined with a colour ...
Jiang, M, Sadka, A H, Zhou, H
core +1 more source