Results 251 to 260 of about 15,148,604 (394)

The practical implementation of artificial intelligence technologies in medicine

open access: yesNature Network Boston, 2019
J. He   +5 more
semanticscholar   +1 more source

Commissioning of Halcyon enhanced leaf model in the Eclipse treatment planning system: Focus on simple slit fields and VMAT dose calculation

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose The dual‐layer multileaf collimator (MLC) in Halcyon adds complexities to the dose calculation process owing to the variability of dosimetric characteristics with leaf motion. Recently, an enhanced leaf model (ELM) was developed to refine the MLC model in the Eclipse treatment planning system. This study investigates the performance of
Ryohei Miyasaka   +6 more
wiley   +1 more source

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

November 6, 2012 [PDF]

open access: yes, 2012
Writing Implementation Committee, Illinois Wesleyan University
core   +1 more source

Understanding adaptations in a community-vetted COVID-19 testing program. [PDF]

open access: yesFront Health Serv
Reyes BJ   +12 more
europepmc   +1 more source

A comparative analysis of deep learning architectures with data augmentation and multichannel input for locoregional breast cancer radiotherapy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Studies on deep learning dose prediction increasingly focus on 3D models with multiple input channels and data augmentation, which increases the training time and thus also the environmental burden and hampers the ease of re‐training. Here we compare 2D and 3D U‐Net models with clinical accepted plans to evaluate the appropriateness of
Rosalie Klarenberg   +2 more
wiley   +1 more source

February 17, 2010 [PDF]

open access: yes, 2010
Writing Implementation Committee, Illinois Wesleyan University
core   +1 more source

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