Results 191 to 200 of about 933,512 (366)
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose/objectives Recent technological advancements have increased efficiency for clinical deliverability of online‐adaptive‐radiotherapy (oART). Previous cone‐beam‐computed‐tomography (CBCT) generations lacked the ability to provide reliable Hounsfield‐units (HU), thus requiring oART workflows to rely on synthetic‐CT (sCT) images derived ...
Jingwei Duan +7 more
wiley +1 more source
ON FERTILISATION, AND THE SEGMENTATION OF THE SPORE IN FUCTJS1
, 1896 J. BRETLAND FARMER
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On Segmentation of Speech for Automatic Speech Recognition [PDF]
, 1963 Klaus W. Otten +2 more
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Journal of Applied Clinical Medical Physics, EarlyView.Abstract Background To assess the dose‐sparing capabilities of a yaw‐limited volumetric modulated arc therapy (YL_VMAT) beam setup for adjacent organs at risk (OAR) in comparison with 3D‐conventional radiation therapy (3D‐CRT), intensity‐modulated radiation therapy (IMRT) and conventional VMAT for radiation therapy in left‐sided breast cancer patients.
Gerhard Pollul +4 more
wiley +1 more source
Closing the gap in plan quality: Leveraging deep‐learning dose prediction for adaptive radiotherapy
Journal 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
Segmentation of the nucleus without segmentation of the protoplasm
, 1896 W. W. Norman
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Approach to More Efficient Segmentation and Classification of Speech Sounds [PDF]
, 1968 William J. Beninghof, M. Ross
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Journal 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
The myogenic and neurogenic components of the rhythmic segmentation motor patterns of the intestine
Frontiers in Neuroscience, 2014 Jan D. Huizinga, Ji-Hong eChen
doaj +1 more source