Results 221 to 230 of about 803,882 (321)
From explanation to intervention: Interactive knowledge extraction from Convolutional Neural Networks used in radiology. [PDF]
Ngan KH+4 more
europepmc +1 more source
Closing the gap in plan quality: Leveraging deep‐learning dose prediction for adaptive radiotherapy
Abstract Purpose Balancing quality and efficiency has been a challenge for online adaptive therapy. Most systems start the online re‐optimization with the original planning goals. While some systems allow planners to modify the planning goals, achieving a high‐quality plan within time constraints remains a common barrier.
Sean J. Domal+9 more
wiley +1 more source
Contextual Word Embedding for Biomedical Knowledge Extraction: a Rapid Review and Case Study. [PDF]
Vithanage D, Yu P, Wang L, Deng C.
europepmc +1 more source
Knowledge Extraction for Infomation Fusion [PDF]
Adang Suwandi, Catherine Olivia
openaire +1 more source
A knowledge‐based approach to Information Extraction for semantic interoperability in the archaeology domain [PDF]
Andreas Vlachidis, Douglas Tudhope
openalex +1 more source
Abstract Purpose This study evaluates the technical feasibility of adapting a surface monitoring system, designed for conventional four‐dimensional computed tomography (4DCT), to an intelligent, breathing‐adapted 4DCT and examines its potential to expand the currently limited range of supported surrogate systems.
Niklas Lackner+4 more
wiley +1 more source
Knowledge extraction for the data web
Knowledge extraction is an essential component in numerous applications across various fields of research. Our first contribution is based on ensemble learning for named entity recognition and achieves a 40\% error rate reduction on this task. We provide our results with Fox, a framework that serializes a knowledge graph with well-defined machine ...
openaire +2 more sources
Abstract Current radiotherapy practices rely on manual contouring of CT scans, which is time‐consuming, prone to variability, and requires highly trained experts. There is a need for more efficient and consistent contouring methods. This study evaluated the performance of the Varian Ethos AI auto‐contouring tool to assess its potential integration into
Robert N. Finnegan+6 more
wiley +1 more source
Artificial neural networks arrangements leading to knowledge extraction
Laurent Bougrain
openalex +1 more source