Results 61 to 70 of about 496,156 (331)
SlideRunner - A Tool for Massive Cell Annotations in Whole Slide Images [PDF]
Bildverarbeitung f\"ur die Medizin 2018, 2018 Large-scale image data such as digital whole-slide histology images pose a challenging task at annotation software solutions. Today, a number of good solutions with varying scopes exist. For cell annotation, however, we find that many do not match the prerequisites for fast annotations.
arxiv +1 more source
Introducing Geometry in Active Learning for Image Segmentation [PDF]
, 2015 We propose an Active Learning approach to training a segmentation classifier that exploits geometric priors to streamline the annotation process in 3D image volumes.
Fua, Pascal +2 more
core +2 more sources
Image annotation with tagprop on the MIRFLICKR set [PDF]
Proceedings of the international conference on Multimedia information retrieval, 2010 Image annotation is an important computer vision problem where the goal is to determine the relevance of annotation terms for images. Image annotation has two main applications: (i) proposing a list of relevant terms to users that want to assign indexing terms to images, and (ii) supporting keyword based search for images without indexing terms, using ...
Verbeek, Jakob +3 more
openaire +3 more sources
Spinal disease diagnosis assistant based on MRI images using deep transfer learning methods
Frontiers in Public Health, 2023 IntroductionIn light of the potential problems of missed diagnosis and misdiagnosis in the diagnosis of spinal diseases caused by experience differences and fatigue, this paper investigates the use of artificial intelligence technology for auxiliary ...
Junbo Xuan +5 more
doaj +1 more source
Block Annotation: Better Image Annotation for Semantic Segmentation with Sub-Image Decomposition [PDF]
arXiv, 2020 Image datasets with high-quality pixel-level annotations are valuable for semantic segmentation: labelling every pixel in an image ensures that rare classes and small objects are annotated. However, full-image annotations are expensive, with experts spending up to 90 minutes per image.
arxiv
FoxO1 signaling in B cell malignancies and its therapeutic targeting
FEBS Letters, EarlyView.FoxO1 has context‐specific tumor suppressor or oncogenic character in myeloid and B cell malignancies. This includes tumor‐promoting properties such as stemness maintenance and DNA damage tolerance in acute leukemias, or regulation of cell proliferation and survival, or migration in mature B cell malignancies.
Krystof Hlavac +3 more
wiley +1 more source
Fluid Annotation: A Human-Machine Collaboration Interface for Full Image Annotation [PDF]
, 2018 We introduce Fluid Annotation, an intuitive human-machine collaboration interface for annotating the class label and outline of every object and background region in an image. Fluid annotation is based on three principles: (I) Strong Machine-Learning aid.
arxiv +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
Image auto-annotation with automatic selection of the annotation length [PDF]
Journal of Intelligent Information Systems, 2012 Developing a satisfactory and effective method for auto-annotating images that works under general conditions is a challenging task. The advantages of such a system would be manifold: it can be used to annotate existing, large databases of images, rendering them accessible to text search engines; or it can be used as core for image retrieval based on a
Halina Kwasnicka +2 more
openaire +1 more source
Functional variation among LPMOs revealed by the inhibitory effects of cyanide and buffer ions
FEBS Letters, EarlyView.This study addresses the inhibition of lytic polysaccharide monooxygenases (LPMOs) by cyanide and explains how and why the magnitude of observed inhibitory effects depends on the way LPMO reactions are setup and on the type of LPMO. Enzymes known as lytic polysaccharide monooxygenases (LPMOs) are mono‐copper polysaccharide‐degrading peroxygenases that ...
Ole Golten +10 more
wiley +1 more source