Results 221 to 230 of about 803,882 (321)

Construction of an Attribute-Value Representation for Semi-structured Medical Findings Knowledge Extraction

open access: diamond, 2008
Daniel de Faveri Honorato   +4 more
openalex   +2 more sources

Closing the gap in plan quality: Leveraging deep‐learning dose prediction for adaptive radiotherapy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
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

Knowledge Extraction for Infomation Fusion [PDF]

open access: yesFourth International Conference on Advances in Information Processing and Communication Technology - IPCT 2016, 2016
Adang Suwandi, Catherine Olivia
openaire   +1 more source

Exploring surface‐guided systems for intelligent breathing‐adapted four‐dimensional computed tomography: A comparison to infrared‐based reflective marker systems

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
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

open access: yes
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

Geometric and dosimetric evaluation of a commercial AI auto‐contouring tool on multiple anatomical sites in CT scans

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
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

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