Results 61 to 70 of about 107,245 (331)
Empirical study of multi-label classification methods for image annotation and retrieval
, 2010 This paper presents an empirical study of multi-label classification methods, and gives suggestions for multi-label classification that are effective for automatic image annotation applications.
Kouzani, Abbas Z., Nasierding, Gulisong
core +1 more source
Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification [PDF]
, 2023 Pranav Singh +7 more
openalex +1 more source
FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Annotating Object Instances with a Polygon-RNN
, 2017 We propose an approach for semi-automatic annotation of object instances. While most current methods treat object segmentation as a pixel-labeling problem, we here cast it as a polygon prediction task, mimicking how most current datasets have been ...
Castrejon, Lluis +3 more
core +1 more source
Evolutionarily divergent DUF4465 domains have a common vitamin B12‐binding function
FEBS Open Bio, EarlyView.We show that DUF4465 family proteins, widespread across bacteria from gut microbiomes, hydrothermal vents, and soil, share a common vitamin B12‐binding function. These augmented β‐jellyroll proteins bind vitamin B12 via extended loops. Our findings establish sequence‐diverse DUF4465 proteins as a widespread class of B12‐binding proteins, highlighting ...
Charlea Clarke +4 more
wiley +1 more source
Model for Automatic Image Annotation Leveraging the OnTunAr Ontology
Computing OpenIn this paper, we present the Automatic Annotation of Archaeological Images model. However, this model is composed of several methods for the analysis, description, and recognition of image components to improve the automatic annotation. Also, the latter
Marwa Ben Salah +2 more
doaj +1 more source
Multilabel Image Annotation Based on Double-Layer PLSA Model
The Scientific World Journal, 2014 Due to the semantic gap between visual features and semantic concepts, automatic image annotation has become a difficult issue in computer vision recently.
Jing Zhang +4 more
doaj +1 more source
Automatic Image Annotation using 2D MHMM [PDF]
, 2015 Automated Image Annotation is an important and challenging task in the field of computer vision and CBIR(Content-Based Image Retrieval). It has extensive use in research as well as personal fields.
Chhotray, Anuvab
core
FEBS Open Bio, EarlyView.Pharmacological inhibition of PERK in a DEN‐induced mouse model of liver cancer does not reduce tumor burden but alters cellular stress signaling. Despite blocking PERK activity, downstream stress responses, including CHOP expression, remain active, suggesting compensatory mechanisms within the unfolded protein response that may influence tumor ...
Ada Lerma‐Clavero +5 more
wiley +1 more source
Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky +8 more
wiley +1 more source