Results 81 to 90 of about 933,512 (366)
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract This study aims to investigate the effects of the position correction of size‐specific dose estimates (SSDE) on patient dose estimation in cone beam computed tomography (CBCT). The relationship between the phantom position and absorbed dose in the right breast was studied using optically stimulated luminescence dosimeters and a simulated human
Hiroyuki Ueno +3 more
wiley +1 more source
A computational model to investigate assumptions in the headturn preference procedure
Frontiers in Psychology, 2013 In this paper we use a computational model to investigate four assumptions that are tacitly present in interpreting the results of studies on infants' speech processing abilities using the Headturn Preference Procedure (HPP): (1) behavioural ...
Christina eBergmann +3 more
doaj +1 more source
Segment-then-Segment: Context-Preserving Crop-Based Segmentation for Large Biomedical Images
Sensors, 2023 Medical images are often of huge size, which presents a challenge in terms of memory requirements when training machine learning models. Commonly, the images are downsampled to overcome this challenge, but this leads to a loss of information. We present a general approach for training semantic segmentation neural networks on much smaller input sizes ...
Marin Benčević +3 more
openaire +5 more sources
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract The present study was conducted as part of a comprehensive work to establish National Diagnostic Reference Levels (NDRLs) in Sri Lanka for the first time. DRLs can be used as an effective optimization tool for identifying unusually high or low patient doses during X‐ray examinations.
Sachith Welarathna +3 more
wiley +1 more source
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation [PDF]
arXiv, 2022 Based on the Denoising Diffusion Probabilistic Model (DDPM), medical image segmentation can be described as a conditional image generation task, which allows to compute pixel-wise uncertainty maps of the segmentation and allows an implicit ensemble of segmentations to boost the segmentation performance.
arxiv
SegSort: Segmentation by Discriminative Sorting of Segments [PDF]
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 In ICCV 2019.
Xiao Zhang +6 more
openaire +3 more sources
Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia
FEBS Letters, EarlyView.This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley +1 more source
Communications in Science and Technology, 2017 Most of the processes of kilowatt-hour meter (kWh-meter) reading in Indonesia are still in manual process which may lead to some problems, such as time consumption and high possibility of data entry errors.
Herryawan Pujiharsono +2 more
doaj +1 more source
Is segmentation uncertainty useful? [PDF]
arXiv, 2021 Probabilistic image segmentation encodes varying prediction confidence and inherent ambiguity in the segmentation problem. While different probabilistic segmentation models are designed to capture different aspects of segmentation uncertainty and ambiguity, these modelling differences are rarely discussed in the context of applications of uncertainty ...
arxiv