Results 41 to 50 of about 317,725 (334)
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
, 2017 Image segmentation is a fundamental problem in biomedical image analysis. Recent advances in deep learning have achieved promising results on many biomedical image segmentation benchmarks.
B Efron +5 more
core +1 more source
A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data [PDF]
, 2015 Topic modeling based on latent Dirichlet allocation (LDA) has been a framework of choice to deal with multimodal data, such as in image annotation tasks.
Larochelle, Hugo +2 more
core +1 more source
Remote Sensing, 2022 With the development of deep learning algorithms, more and more deep learning algorithms are being applied to remote sensing image classification, detection, and semantic segmentation.
Yongxiu Zhou +5 more
doaj +1 more source
Image Annotation With YCbCr Color Features Based on Multiple Deep CNN- GLP
IEEE AccessDigital image collections are becoming increasingly popular due to their ease of use. Still, the need for adequate indexing information makes it difficult for users to find the specific images they need.
Myasar Mundher Adnan +6 more
doaj +1 more source
Application of whole slide image markup and annotation for pathologist knowledge capture
Journal of Pathology Informatics, 2013 Objective: The ability to transfer image markup and annotation data from one scanned image of a slide to a newly acquired image of the same slide within a single vendor platform was investigated.
Walter S Campbell +2 more
doaj +1 more source
How machines see the world: Understanding image annotation
NECSUS, 2018 Michael Baxandall, in PAINTING AND EXPERIENCE IN 15TH CENTURY ITALY (1972), shows the existence of a series of rules that painters of the 15th century were advised to follow.
Carloalberto Treccani
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Image Retrieval: Modelling Keywords via Low-level Features
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2015 With the advent of cheap digital recording and storage devices and the rapidly increasing popularity of online social networks that make extended use of visual information, like Facebook and Instagram, image retrieval regained great attention among the ...
Zenonas Theodosiou
doaj +1 more source
Automatic Annotation of Images from the Practitioner Perspective
, 2005 This paper describes an ongoing project which seeks to contribute to a wider understanding of the realities of bridging the semantic gap in visual image retrieval.
Enser, Peter G.B. +2 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Automatic Image Annotation by Sequentially Learning From Multi-Level Semantic Neighborhoods
IEEE Access, 2021 Automatic image annotation is a key technology in image understanding and pattern recognition, and is becoming increasingly important in order to annotate large-scale images.
Houjie Li +5 more
doaj +1 more source