Results 71 to 80 of about 6,675,235 (374)
How machines see the world: Understanding image annotation
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
doaj +1 more source
Image Retrieval: Modelling Keywords via Low-level Features
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
Adaptive Tag Selection for Image Annotation [PDF]
Not all tags are relevant to an image, and the number of relevant tags is image-dependent. Although many methods have been proposed for image auto-annotation, the question of how to determine the number of tags to be selected per image remains open.
He, Xixi +4 more
core +1 more source
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga +56 more
wiley +1 more source
ABSTRACT Background/Objectives Osteosarcoma is a radioresistant tumor that may benefit from stereotactic body radiation therapy (SBRT) for locoregional control in metastatic/recurrent disease. We report institutional practice patterns, outcomes, toxicity, and failures in osteosarcoma patients treated with SBRT.
Jenna Kocsis +13 more
wiley +1 more source
Annotation of enhanced radiographs for medical image retrieval with deep convolutional neural networks. [PDF]
The number of images taken per patient scan has rapidly increased due to advances in software, hardware and digital imaging in the medical domain.
Obioma Pelka +2 more
doaj +1 more source
Development and maintenance of VGG Image Annotator (VIA) is supported by EPSRC programme grant Seebibyte: Visual Search for the Era of Big Data (EP/M013774/1)
Abhishek Dutta +2 more
openaire +1 more source
ABSTRACT We present two pediatric cases of pediatric low‐grade gliomas (PLGG) with BRAF V600E mutations diagnosed and monitored using cerebrospinal fluid (CSF) liquid biopsy analyzed via digital droplet PCR (ddPCR), without tissue biopsy. Both patients were treated with dabrafenib and trametinib and monitored through clinical assessments, magnetic ...
Hannah Sultan +5 more
wiley +1 more source
Parent‐to‐Child Information Disclosure in Pediatric Oncology
ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor +12 more
wiley +1 more source
Automated Annotator Variability Inspection for Biomedical Image Segmentation
Supervised deep learning approaches for automated diagnosis support require datasets annotated by experts. Intra-annotator variability of a single annotator and inter-annotator variability between annotators can affect the quality of the diagnosis ...
Marcel P. Schilling +6 more
doaj +1 more source

