Results 201 to 210 of about 262,026 (340)

UniRule: a unified rule resource for automatic annotation in the UniProt Knowledgebase. [PDF]

Bioinformatics, 2020
MacDougall A, Volynkin V, Saidi R, Poggioli D, Zellner H, Hatton-Ellis E, Joshi V, O'Donovan C, Orchard S, Auchincloss AH, Baratin D, Bolleman J, Coudert E, de Castro E, Hulo C, Masson P, Pedruzzi I, Rivoire C, Arighi C, Wang Q, Chen C, Huang H, Garavelli J, Vinayaka CR, Yeh LS, Natale DA, Laiho K, Martin MJ, Renaux A, Pichler K, UniProt Consortium.   +30 more
europepmc   +1 more source

Statistical models for automatic video annotation and retrieval

, 2004
Victor Lavrenko, Siwei Feng, R. Manmatha
openalex   +2 more sources

DICOM attribute manipulation tool: Easily change frame of reference, series instance, and SOP instance UID

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose In radiation oncology, the integration and registration of multiple imaging modalities is a crucial aspect of the diagnosis and treatment planning process. These images are often inherently registered, a useful feature in most cases, but possibly a hindrance when registration modifications are required.
Brian M. Anderson, Casey Bojechko
wiley   +1 more source

An automatic song annotation system

, 2009
The amount of multimedia content in the audiovisual sector, as well as on the Internet, is increasing a lot, and Music is one of the most outstanding forms of multimedia content requested by users. Every year, new songs, artists and genres appear in the market. Managing this musical content is, thus, becoming a very complex task.
openaire   +1 more source

An investigation into the feasibility and efficacy of stereotactic radiosurgery for 1–3 cm single brain lesions on the ring‐mounted Halcyon LINAC

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose An evaluation of the accuracy, safety, and efficiency of the Halcyon ring delivery system (RDS) for stereotactic radiosurgery (SRS) treatment to relatively small (1–3 cm) brain lesions. Methods After completing the extensive in‐house quality assurance checks including Winston–Lutz test and independent dose verification via MD Anderson ...
Kate Hazelwood, Shane McCarthy, Josh Misa, David Castelvetere, William St. Clair, Damodar Pokhrel   +5 more
wiley   +1 more source

Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration. [PDF]

Int J Comput Assist Radiol Surg, 2020
Grupp RB, Unberath M, Gao C, Hegeman RA, Murphy RJ, Alexander CP, Otake Y, McArthur BA, Armand M, Taylor RH.   +9 more
europepmc   +1 more source

"You are an expert annotator": Automatic Best-Worst-Scaling Annotations for Emotion Intensity Modeling [PDF]

arXiv
Labeling corpora constitutes a bottleneck to create models for new tasks or domains. Large language models mitigate the issue with automatic corpus labeling methods, particularly for categorical annotations. Some NLP tasks such as emotion intensity prediction, however, require text regression, but there is no work on automating annotations for ...
arxiv  

A knowledge-based approach to semi-automatic annotation of multimedia documents via user adaptation

, 2004
Afzal Ballim, Nastaran Fatemi, Hatem Ghorbel, Vincenzo Pallotta   +3 more
openalex   +2 more sources

Automatic annotation of bibliographical references with target language [PDF]

, 2008
Harald Hammarström
openalex   +1 more source

Unsupervised non‐small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity‐based discriminator

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning‐based automatic segmentation methods rely on manually annotated data for network training. Purpose This study aims to develop an unsupervised tumor segmentation network smic‐GAN by using a similarity‐driven generative adversarial ...
Chengyijue Fang, Xiaoyang Li, Yidong Yang   +2 more
wiley   +1 more source