Results 151 to 160 of about 496,156 (331)
MIRACLE’s Naive Approach to Medical Images Annotation
, 2005 One of the proposed tasks of the ImageCLEF 2005 campaign has been an Automatic Annotation Task. The objective is to provide the classification of a given set of 1,000 previously unseen medical (radiological) images according to 57 predefined categories ...
González Cristóbal, José Carlos +3 more
core
Molecular Oncology, EarlyView.The authors conducted a retrospective study of 94 patients with advanced cancer who underwent next‐generation sequencing (NGS) gene panel analysis and received targeted treatments when applicable. Results further support evidence indicating that molecular profiling provides clinical benefit.
Michaël Dang +3 more
wiley +1 more source
A localization strategy combined with transfer learning for image annotation. [PDF]
PLoS One, 2021 Chen Z +4 more
europepmc +1 more source
A framework for content-based image retrieval fully exploiting the semantics of annotation [PDF]
, 2006 Tommaso Di Noia +4 more
openalex +1 more source
KMT2A degradation is observed in decitabine‐responsive acute lymphoblastic leukemia cells
Molecular Oncology, EarlyView.We demonstrate that decitabine (DEC) not only degrades the DNA methyltransferase DNMT1 but also the leukemic driver lysine methyltransferase KMT2A likely due to structural similarity of the DNA‐binding CXXC domains. DEC influences KMT2A downstream processes and synergizes with menin inhibitor revumenib (REV) to decrease leukemic cell proliferation, and
Luisa Brock +10 more
wiley +1 more source
Automatic Annotation of Images in Persian Scientific Documents Based on Text Analysis Methods
Iranian Journal of Information Processing & Management, 2022 In this paper a new method for annotating images in Persian scientific documents is suggested. Images in scientific documents contain valuable information.
Azadeh fakhrzadeh +2 more
doaj
Can Vision-Language Models Replace Human Annotators: A Case Study with CelebA Dataset [PDF]
arXivThis study evaluates the capability of Vision-Language Models (VLMs) in image data annotation by comparing their performance on the CelebA dataset in terms of quality and cost-effectiveness against manual annotation. Annotations from the state-of-the-art LLaVA-NeXT model on 1000 CelebA images are in 79.5% agreement with the original human annotations ...
arxiv
An Integrative Semantic Framework for Image Annotation and Retrieval [PDF]
, 2007 Taha Osman +3 more
openalex +1 more source
Molecular Oncology, EarlyView.CD226+CD8+ T cells express elevated levels of RUNX2, exhibit higher proliferation capacity, cytokines and cytolytic molecules expression, and migratory capacity. In contrast, CD226−CD8+ T cells display an exhausted phenotype associated with the increased expression of co‐inhibitory receptors and impaired effector functions.
Maryam Rezaeifar +4 more
wiley +1 more source
New Approach to Accelerated Image Annotation by Leveraging Virtual Reality and Cloud Computing. [PDF]
Front Bioinform, 2021 Guérinot C +13 more
europepmc +1 more source