Results 71 to 80 of about 105,087 (335)

Automated annotation of landmark images using community contributed datasets and web resources [PDF]

, 2010
A novel solution to the challenge of automatic image annotation is described. Given an image with GPS data of its location of capture, our system returns a semantically-rich annotation comprising tags which both identify the landmark in the image, and ...
Byrne, Daragh, Hughes, Mark, Jones, Gareth J.F., O'Connor, Noel E., Salway, Andrew   +4 more
core  

Hip Morphology–Based Osteoarthritis Risk Prediction Models: Development and External Validation Using Individual Participant Data From the World COACH Consortium

Arthritis Care &Research, EarlyView.
Objective This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the Worldwide Collaboration ...
Myrthe A. van den Berg, Fleur Boel, Michiel M. A. van Buuren, Noortje S. Riedstra, Jinchi Tang, Harbeer Ahedi, Nigel K. Arden, Sita M. A. Bierma‐Zeinstra, Cindy G. Boer, Flavia M. Cicuttini, Timothy F. Cootes, David T. Felson, Willem Paul Gielis, Joshua Heerey, Graeme Jones, Stefan Kluzek, Nancy E. Lane, Claudia Lindner, Joyce B. J. van Meurs, Andrea Mosler, Amanda E. Nelson, Michael C. Nevitt, Edwin H. Oei, Jos Runhaar, Harrie Weinans, Jesse H. Krijthe, Rintje Agricola   +26 more
wiley   +1 more source

Tags Re-ranking Using Multi-level Features in Automatic Image Annotation [PDF]

Journal of Advances in Computer Engineering and Technology, 2019
Automatic image annotation is a process in which computer systems automatically assign the textual tags related with visual content to a query image. In most cases, inappropriate tags generated by the users as well as the images without any tags among ...
Forogh Ahmadi, Vafa Maihami
doaj  

Automatically Annotating the MIR Flickr Dataset: Experimental Protocols, Openly Available Data and Semantic Spaces [PDF]

, 2010
The availability of a large, freely redistributable set of high-quality annotated images is critical to allowing researchers in the area of automatic annotation, generic object recognition and concept detection to compare results. The recent introduction
Hare, Jonathan, Lewis, Paul
core  

Cognitive Behavioral Therapy for Youth with Childhood‐Onset Lupus: A Randomized Clinical Trial

Arthritis Care &Research, Accepted Article.
Objective Our objective was to determine the feasibility and acceptability of the Treatment and Education Approach for Childhood‐onset Lupus (TEACH), a six‐session cognitive behavioral intervention addressing depressive, fatigue, and pain symptoms, delivered remotely to individual youth with lupus by a trained interventionist.
Natoshia R. Cunningham, Thea Senger‐Carpenter, Jocelyn Zuckerman, Michelle Adler, Mallet R. Reid, Ashley Danguecan, Luana Flores Pereira, Sarah I. Mossad, Samantha L. Ely, Khalid Abulaban, Elizabeth A. Kessler, Natalie Rosenwasser, Tamar B. Rubinstein, Ekemini A. Ogbu, Emily A. Smitherman, Alaina Miller, Taylor Abounader, Elizabeth Ross, Livie Timmerman, Dhriti Sharma, Jennifer N. Stinson, Stacy Allen, Kabita Nanda, Tala El Tal, Deborah M. Levy, Linda T. Hiraki, Hermine I. Brunner, Mathew Reeves, Steven J. Pierce, Andrea Knight   +29 more
wiley   +1 more source

Efficient musculoskeletal annotation using free-form deformation

Scientific Reports
Traditionally, constructing training datasets for automatic muscle segmentation from medical images involved skilled operators, leading to high labor costs and limited scalability.
Norio Fukuda, Shoji Konda, Jun Umehara, Masaya Hirashima   +3 more
doaj   +1 more source

Automatic Image Annotation for Small and Ad hoc Intelligent Applications using Raspberry Pi

MATEC Web of Conferences, 2019
The cutting-edge technology Machine Learning (ML) is successfully applied for Business Intelligence. Among the various pre-processing steps of ML, Automatic Image Annotation (also known as automatic image tagging or linguistic indexing) is the process in
Syed Muslim Jameel, Manzoor Ahmed Hashmani, Syed Sajjad Hussain Rizvi, Vali Uddin, Mobashar Rehman   +4 more
doaj   +1 more source

Automatic Image Annotation using SURF Features

International Journal of Computer Applications, 2013
Automatic image annotation is a challenging field with a far reaching effect. As the world moves towards becoming more and more dependent on digital technologies every day, use of machine to automatically annotate images can be proved as demanding in many fields of image processing.
Sanjeev Sharma, Nishchol Mishra, Tuhin Shukla   +2 more
openaire   +1 more source

Laser Metal Deposited Ti4822 Hollow Pipe: Experimental and Computational Modelling Study

Advanced Engineering Materials, EarlyView.
Laser metal deposition (LMD) of a crack‐free built Ti4822 alloys is challenging. This article reports outstanding characteristics of a hollow pipe that is built with LMD technology when a predicted, nontransformation substrate temperature of 800 °C is used.
Sadiq A. Raji, Monnamme Tlotleng, Samuel Skhosane, Lehlogonolo R. Kanyane, Abimbola P. I. Popoola, Sisa L. Pityana   +5 more
wiley   +1 more source

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, Goñi Menoyo, José Miguel, Martínez Fernández, José Luis, Villena Román, Julio   +3 more
core