Results 31 to 40 of about 105,087 (335)

Shot type characterization in 2D and 3D video content [PDF]

, 2015
Due to the enormous increase of video and image content on the web the last decades, automatic video annotation became a necessity. The successful annotation of video and image content facilitate a successful indexing and retrieval in searchdatabases. In
Nikolaidis, Nikos, Pitas, Ioannis, Tefas, Anastasios, Tsingalis, Ioannis   +3 more
core   +1 more source

Annotation-efficient deep learning for automatic medical image segmentation

Nature Communications, 2021
Existing high-performance deep learning methods typically rely on large training datasets with high-quality manual annotations, which are difficult to obtain in many clinical applications.
Shanshan Wang, Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang, Hongna Tan, Yaping Wu, Xinfeng Liu, Hui Sun, Rui Yang, Xin Liu, Jie Chen, Huihui Zhou, Ismail Ben Ayed, Hairong Zheng   +14 more
doaj   +1 more source

Automatic Image Annotation Method Based on Color Histogram Pyramid [PDF]

Jisuanji gongcheng, 2016
This paper presents a color histogram feature annotation method based on Pyramid Match Kernel(PKM) for automatic image annotation.This technique works by partitioning the image into increasingly fine grids and computing color histogram within each grid ...
WANG Jianwen,LIN Jie
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., Lewis, Paul, Sandom, Christine J.   +2 more
core   +1 more source

Multiview Semi-Supervised Ranking for Automatic Image Annotation [PDF]

, 2013
International audienceMost photo sharing sites give their users the opportunity to manually label images. The labels collected that way are usually very incomplete due to the size of the image collections: most images are not labeled according to all the
Amini, Massih-Reza, Fakeri-Tabrizi, Ali, Gallinari, Patrick   +2 more
core   +3 more sources

An interface to retrieve personal memories using an iconic visual language [PDF]

, 2011
Relevant past events can be remembered when visualizing related pictures. The main difficulty is how to find these photos in a large personal collection. Query definition and image annotation are key issues to overcome this problem.
B. Moghaddam, F. Pereira, J. Buijs, M. Flickner, M. Lew, R. Veltkamp   +5 more
core   +1 more source

Annotation of enhanced radiographs for medical image retrieval with deep convolutional neural networks. [PDF]

PLoS ONE, 2018
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, Felix Nensa, Christoph M Friedrich   +2 more
doaj   +1 more source

ULTRASOUND LUNG IMAGES AUTOMATIC ANNOTATION

International Journal of Computer Science and Informatics, 2013
This paper aims at an elegant mixture of methods for automatic annotation, detection, clustering, segmentation and retrieval of ultrasound lung images. The annotation of lung images done by using a method called Speeded up Robust Features that is based on the Support Vector Machine classifier.
V. RAMACHANDRAN, E.SRINIVASA REDDY
openaire   +1 more source

Monitoring of circulating tumor DNA allows early detection of disease relapse in patients with operable breast cancer

Molecular Oncology, EarlyView.
Monitoring circulating tumor DNA (ctDNA) in patients with operable breast cancer can reveal disease relapse earlier than radiology in a subset of patients. The failure to detect ctDNA in some patients with recurrent disease suggests that ctDNA could serve as a supplement to other monitoring approaches.
Kristin Løge Aanestad, Marie Austdal, Oddmund Nordgård, Gunnar Mellgren, Satu Oltedal, Marie L. Austbø, Ylva H. Vignes, Thomas Helland, Kristin Jonsdottir, Tone H. Lende, Emilius A. M. Janssen, Bjørnar Gilje, Kjersti Tjensvoll, PBCB study group, Gunnar Mellgren, Tone Hoel Lende, Anette Heie, Kristin Viste, Anita Røyneberg Alvheim, Emiel AM Janssen, Kristin Jonsdottir, Ann Cathrine Kroksveen, Thomas Helland, Einar Gudlaugsson, Oddmund Nordgård, Satu Oltedal, Kristin Løge Aanestad, Jan Terje Kvaløy, Kirsten Lode, Kari Britt Hagen, Marie Austdal, Ylva H. Vignes, Siri Tungland Sola, Nina Egeland Amundsen, Finn Magnus Eliassen, Emeritus Ernst A Lien   +35 more
wiley   +1 more source

DeepAIA: An Automatic Image Annotation Model Based on Generative Adversarial Networks and Transfer Learning

IEEE Access, 2022
Automatic image annotation (AIA) has been adopted in different applications such as image retrieval and classification. Deep Learning is used in AIA to extract image features and then convert these features into text descriptions and labels.
Abeer Alshehri, Mounira Taileb, Reem Alotaibi   +2 more
doaj   +1 more source