Results 71 to 80 of about 74,395 (265)

Impact of acceleration treatment on treatment plan and delivery qualities in tomotherapy for lung cancer

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Acceleration treatment (AT) is a novel treatment planning parameter introduced in the tomotherapy‐dedicated treatment planning system, Precision. This study explores the effects of AT on tomotherapy plans using helical (TomoHelical) and direct (TomoDirect) irradiation techniques.
Ryosuke Shirata, Tatsuya Inoue, Yugo Ebinuma, Akihiro Yamano, Takayuki Yagihashi, Hironori Nagata, Yumiko Minagawa, Yuki Mukai, Akiko Sato, Motoko Omura   +9 more
wiley   +1 more source

Effects of simultaneous multislice acceleration on the stability of radiomics features in parametric maps of IVIM and DKI in uterine cervical cancer

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose The aim of this study was to investigate the influence of the simultaneous multislice acceleration (SMS) technique as well as two‐dimensional (2D) and three‐dimensional (3D) tumor segmentations on radiomics features (RFs) within the parametric maps of cervical cancer, which were computed by intravoxel incoherent motion (IVIM) and ...
Shuangquan Ai, Wei Peng, Rong Hou, Huiting Zhang, Robert Grimm, Zilong Yuan, Yulin Liu   +6 more
wiley   +1 more source

Growth rates of hair goat kids by multiple comparison tests [PDF]

Eurasian Journal of Veterinary Sciences
Aim: This research has been conducted to determine the effects of Dam’s Age and enterprise factors on suckling period Growth Rate (daily live weight gain) of Hair Goat Kids by different multiple comparison tests.
Zehra Günlü, Mehmet Emin Tekin
doaj  

Problems With SHAP and LIME in Interpretable AI for Education: A Comparative Study of Post-Hoc Explanations and Neural-Symbolic Rule Extraction

IEEE Access
Given that education is classified as a ‘high-risk’ domain under regulatory frameworks like the EU AI Act, ensuring accurate and trustworthy interpretability in educational AI applications is critical due to its profound impact on student ...
Danial Hooshyar, Yeongwook Yang
doaj   +1 more source

Generating post-hoc explanation from deep neural networks for multi-modal medical image analysis tasks

MethodsX, 2023
Explaining model decisions from medical image inputs is necessary for deploying deep neural network (DNN) based models as clinical decision assistants.
Weina Jin, Xiaoxiao Li, Mostafa Fatehi, Ghassan Hamarneh   +3 more
doaj  

Surface dose analysis and dosimetric comparison of Halcyon versus Truebeam in breast cancer radiotherapy: An OSL dosimetry study

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Breast cancer is a neoplastic disease with high prevalence among women. Radiotherapy is one of the principal treatment modalities for this disease, but it poses significant challenges. This study aimed to compare and evaluate the technical and dosimetric performance of conventional C‐arm linac systems and a new design, Halcyon, in the ...
Mustafa Çağlar, Kudret Akçay, Esra Serin, Dursun Eşitmez, Mehmet Sıddık Cebe, Navid Kheradmand, Ömer Yazıcı, Dilek Ünal, Evrim Metcalfe   +8 more
wiley   +1 more source

The Limits of Post-Selection Generalization [PDF]

arXiv, 2018
While statistics and machine learning offers numerous methods for ensuring generalization, these methods often fail in the presence of adaptivity---the common practice in which the choice of analysis depends on previous interactions with the same dataset.
arxiv  

Comprehensive clinical evaluation of novel 4DCT‐based lung function imaging methods

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Methods have been developed that apply image processing to 4DCTs to generate 4DCT‐ventilation/perfusion lung imaging. Traditional methods for 4DCT‐ventilation rely on Hounsfield‐Unit (HU) density‐change methods and suffer from poor numerical robustness while not providing 4DCT‐perfusion data.
Ehsan Golkar, Taindra Neupane, Lydia Wilson, Jennifer Kwak, Richard Castillo, Edward Castillo, Yevgeniy Vinogradskiy   +6 more
wiley   +1 more source

On the use of post-hoc tests in environmental and biological sciences: A critical review

Heliyon
Post-hoc comparison procedures are commonly used to determine which group means differ after a significant analysis of variance (ANOVA). Several post-hoc tests have been proposed, but their use requires certain assumptions to be met, such as normality ...
Codjo Emile Agbangba, Edmond Sacla Aide, Hermann Honfo, Romain Glèlè Kakai   +3 more
doaj  

Post-hoc Uncertainty Calibration for Domain Drift Scenarios [PDF]

arXiv, 2020
We address the problem of uncertainty calibration. While standard deep neural networks typically yield uncalibrated predictions, calibrated confidence scores that are representative of the true likelihood of a prediction can be achieved using post-hoc calibration methods. However, to date the focus of these approaches has been on in-domain calibration.
arxiv