Results 21 to 30 of about 262,026 (340)
Semi-Automatic Cloud-Native Video Annotation for Autonomous Driving
An innovative solution named Annotation as a Service (AaaS) has been specifically designed to integrate heterogeneous video annotation workflows into containers and take advantage of a cloud native highly scalable and reliable design based on Kubernetes ...
Sergio Sánchez-Carballido+3 more
doaj +1 more source
Automatic Image Annotation Based on Deep Learning Models: A Systematic Review and Future Challenges
Recently, much attention has been given to image annotation due to the massive increase in image data volume. One of the image retrieval methods which guarantees the retrieval of images in the same way as texts are automatic image annotation (AIA ...
Myasar Mundher Adnan+5 more
doaj +1 more source
Improving automatic GO annotation with semantic similarity
Background Automatic functional annotation of proteins is an open research problem in bioinformatics. The growing number of protein entries in public databases, for example in UniProtKB, poses challenges in manual functional annotation. Manual annotation
Bishnu Sarker+3 more
doaj +1 more source
LAKomp. Lemmatize, annotate and compare texts in non-standardized languages
LAKomp is a semi-automatic web-based tool developed for the annotation and comparison of historical, non-standardized texts. In contrast to other tools, LAKomp does not automate annotation but makes manual annotation simple and fast offering a semi ...
Barbara Aehnlich, Elisabeth Witzenhausen
doaj +1 more source
Abstract The past two decades have produced extensive evidence on the manifold and severe outcomes for victims of aggression exposure in the workplace. However, due to the dominating individual‐centered approach, most findings miss a social network perspective.
Alexander Herrmann+2 more
wiley +1 more source
Semi‐supervised classification of fundus images combined with CNN and GCN
Abstract Purpose Diabetic retinopathy (DR) is one of the most serious complications of diabetes, which is a kind of fundus lesion with specific changes. Early diagnosis of DR can effectively reduce the visual damage caused by DR. Due to the variety and different morphology of DR lesions, automatic classification of fundus images in mass screening can ...
Sixu Duan+8 more
wiley +1 more source
A small footprint couch‐top support device for image‐guided radiotherapy of heavy patients
Abstract Purpose Patients with body weights close to or above 400 lbs present unique challenges in radiation therapy since the weight limit of most treatment couches decreases as the couch‐top extends toward the treatment gantry. The purpose of this work was to develop a small footprint couch‐top support platform to safely perform image‐guided ...
Huixiao Chen+5 more
wiley +1 more source
Hybrid image representation methods for automatic image annotation: a survey [PDF]
In most automatic image annotation systems, images are represented with low level features using either global methods or local methods. In global methods, the entire image is used as a unit.
Bechkoum, Kamal+3 more
core +1 more source
Abstract Background and purpose For postoperative breast cancer patients, deformable image registration (DIR) is challenged due to the large deformations and non‐correspondence caused by tumor resection and clip insertion. To deal with it, three metrics (fiducial‐, region‐, and intensity‐based) were jointly used in DIR algorithm for improved accuracy ...
Xin Xie+6 more
wiley +1 more source
UniRule - Automatic Annotation In UniProtKB [PDF]
AbstractThe UniProt KnowledgeBase (UniProtKB) provides a stable, comprehensive, freely accessible, centralized resource on protein sequences and functional annotation. UniProtKB consists of two sections: UniProtKB/SwissProt, a section containing records that are manually annotated with information extracted from the literature and curator-evaluated ...
Alan J. Bridge+2 more
openaire +2 more sources