Results 241 to 250 of about 8,523,736 (360)
Environmental sciences division: Environmental regulatory update table July 1988
Marc Langston, Ali Nikbakht, M.S. Salk
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Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang+5 more
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Environmental Sciences Division publications: Publication numbers 3246--3440
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Environmentalism and the Science of Conservation Biology [PDF]
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The effect of multi‐leaf collimator leaf width on VMAT treatment plan quality
Abstract Background The advent of volumetric modulated arc therapy (VMAT) in radiotherapy has made it one of the most commonly used techniques in clinical practice. VMAT is the delivery of intensity modulated radiation therapy (IMRT) while the gantry is in motion, and existing literature has shown it has decreased treatment delivery times and the ...
Gregory Sadharanu Peiris+3 more
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Proposals for the First Australian Antarctic Expedition. L. Cole 1990. Melbourne, Dept. of Geography and Environmental Science, Monash University (Monash Publications in Geography 39). 74 p, illustrated, soft cover. ISBN 0 909685 43 6. [PDF]
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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
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