Results 161 to 170 of about 1,551,832 (303)

Open‐source deep‐learning models for segmentation of normal structures for prostatic and gynecological high‐dose‐rate brachytherapy: Comparison of architectures

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien, Yasin Abdulkadir, Dishane C. Luximon, John Charters, Huiming Dong, Jonathan Pham, Dylan O'Connell, Jack Neylon, James M. Lamb   +8 more
wiley   +1 more source

JACMP 2025–2029 and beyond

Journal of Applied Clinical Medical Physics, EarlyView.
Michael Mills
wiley   +1 more source

An extension to the OVH concept for knowledge‐based dose volume histogram prediction in lung tumor volumetric‐modulated arc therapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Volumetric‐modulated arc therapy (VMAT) treatment planning allows a compromise between a sufficient coverage of the planning target volume (PTV) and a simultaneous sparing of organs‐at‐risk (OARs). Particularly in the case of lung tumors, deciding whether it is possible or worth spending more time on further improvements of a treatment
Johann Brand, Juliane Szkitsak, Oliver J. Ott, Christoph Bert, Stefan Speer   +4 more
wiley   +1 more source

Dataset of sensitive topics in Russian

, 2023
Nikolay, Varvara, Alexander Alexander
openalex   +2 more sources

Multivariate Gaussian Topic Modelling: A novel approach to discover topics with greater semantic coherence [PDF]

arXiv
An important aspect of text mining involves information retrieval in form of discovery of semantic themes (topics) from documents using topic modelling. While generative topic models like Latent Dirichlet Allocation (LDA) elegantly model topics as probability distributions and are useful in identifying latent topics from large document corpora with ...
arxiv  

Novel CT radiomics models for the postoperative prediction of early recurrence of resectable pancreatic adenocarcinoma: A single‐center retrospective study in China

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du, Yongsu Ma, Kexin Wang, Xiejian Zhong, Jianxin Wang, Xiaodong Tian, Xiaoying Wang, Yinmo Yang   +7 more
wiley   +1 more source

Dataset of inappropriate utterances on sensitive topics in Russian

, 2023
Nikolay, Varvara, Alexander Alexander
openalex   +2 more sources

Topic modeling datasets

, 2023
I. Vera
openalex   +2 more sources

Epigenome‐wide association study, meta‐analysis, and multiscore profiling of whole blood in Parkinson's disease

Annals of Clinical and Translational Neurology, EarlyView.
Abstract Objectives An increasing body of evidence indicates altered DNA methylation in Parkinson's disease, yet the reproducibility and utility of such methylation changes are largely unexplored. We aimed to further elucidate the role of dysregulated DNA methylation in Parkinson's disease and to evaluate the biomarker potential of methylation‐based ...
Ingeborg Haugesag Lie, Manuela M. X. Tan, Maren Stolp Andersen, Mathias Toft, Lasse Pihlstrøm   +4 more
wiley   +1 more source

Dataset for: Older adults' suggestions of research topics on ageing well in urban environments – a participatory study

, 2023
Philip Oeser, Nora Bruckmann, Paul Gellert, Wolfram Herrmann   +3 more
openalex   +2 more sources