Results 181 to 190 of about 262,026 (340)

Position‐dependent offset corrections for ring applicator reconstruction in cervical cancer brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Due to the tight curvature in their design, ring applicators are usually associated with large positioning errors. The standard practice to correct for these deviations based on global offsets may not be sufficient to comply with the recommended tolerance.
Leon G. Aldrovandi, Matthias E. T. Dessein, Shelley M. Pearson, Shelley M. Bulling   +3 more
wiley   +1 more source

Bayesian parameter estimation for automatic annotation of gene functions using observational data and phylogenetic trees. [PDF]

PLoS Comput Biol, 2021
Vega Yon GG, Thomas DC, Morrison J, Mi H, Thomas PD, Marjoram P.   +5 more
europepmc   +1 more source

Feedback-driven object detection and iterative model improvement [PDF]

https://www.gfai.de/fileadmin/Downloads/Tagungsband/gfai-tagungsband-2024.pdf
Automated object detection has become increasingly valuable across diverse applications, yet efficient, high-quality annotation remains a persistent challenge. In this paper, we present the development and evaluation of a platform designed to interactively improve object detection models.
arxiv  

Automatic Semantic Annotation of Images using Spatial Hidden Markov Model [PDF]

, 2006
Feiyang Yu, Horace H. S. Ip
openalex   +1 more source

Evaluation of the system accuracy of frameless stereotactic radiosurgery using a combination of cone beam CT, six degrees of freedom couch, and surface image‐guided systems

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study aims to evaluate the accuracy of the frameless linear accelerator‐based stereotactic radiosurgery (FSRS) system incorporating cone‐beam CT (CBCT), six degrees of freedom (6‐DoF) couch, room laser, and surface image‐guided (SG) systems.
Hao‐Wen Cheng, Jonathan Li, Sheng‐Hsuan Sun, Guanghua Yan, Chihray Liu   +4 more
wiley   +1 more source

Enhanced Semi-Supervised Learning for Automatic Video Annotation [PDF]

, 2006
Meng Wang, Xian‐Sheng Hua, Li-Rong Dai, Yan Song   +3 more
openalex   +1 more source

Fast, automated optimization of virtual monoenergetic images with the dual‐energy image synthesizer for cone‐beam CT

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Dual‐energy cone‐beam CT (DE‐CBCT) has become subject of recent interest due to the ability to produce virtual monoenergetic images (VMIs) with improved soft‐tissue contrast and reduced nonuniformity artifacts. However, efficient production and optimization of VMIs remains an under‐explored part of DE‐CBCT's application.
Andrew Keeler, Jason Luce, Mathias Lehmann, John C. Roeske, Hyejoo Kang   +4 more
wiley   +1 more source

Manual Annotation and Automatic Image Processing of Multimodal Emotional Behaviors in TV Interviews [PDF]

, 2006
Jean‐Claude Martin, George Caridakis, Laurence Devillers, Kostas Karpouzis, Sarkis Abrilian   +4 more
openalex   +1 more source

Open‐source deep‐learning models for segmentation of normal structures for prostatic and gynecological high‐dose‐rate brachytherapy: Comparison of architectures

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien, Yasin Abdulkadir, Dishane C. Luximon, John Charters, Huiming Dong, Jonathan Pham, Dylan O'Connell, Jack Neylon, James M. Lamb   +8 more
wiley   +1 more source

Bridging the Semantic Gap in Multimedia Information Retrieval: Top-down and Bottom-up approaches

, 2006
Semantic representation of multimedia information is vital for enabling the kind of multimedia search capabilities that professional searchers require. Manual annotation is often not possible because of the shear scale of the multimedia information that ...
Enser, Peter G.B., Hare, Jonathon S., Lewis, Paul H., Martinez, Kirk, Sandom, Christine J., Sinclair, Patrick A. S.   +5 more
core   +1 more source