Results 81 to 90 of about 1,703,719 (384)
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
Nonparametric statistics of image neighborhoods for unsupervised texture segmentation [PDF]
, 2005 technical reportIn this paper, we present a novel approach to unsupervised texture segmentation that is based on a very general statistical model of image neighborhoods.
Awate, Suyash P., Texture segmentation
core
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
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
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
FEBS Letters, EarlyView.LHCPs are transported to the thylakoid membrane via the (cp)SRP pathway. This process involves a transit complex of (cp)SRP43, (cp)SRP54 and LHCP, which interacts with (cp)FtsY and Alb3 at the membrane. GTP hydrolysis by (cp)SRP54 and (cp)FtsY triggers complex dissociation.
Victor Zegarra +7 more
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
UCP-Net: Unstructured Contour Points for Instance Segmentation [PDF]
arXiv, 2021 The goal of interactive segmentation is to assist users in producing segmentation masks as fast and as accurately as possible. Interactions have to be simple and intuitive and the number of interactions required to produce a satisfactory segmentation mask should be as low as possible.
arxiv
FEBS Letters, EarlyView.The NlpC_P60 superfamily of peptidases is recognised by its key role in bacterial cell wall homeostasis. Recently, studies have also described the involvement of NlpC_P60‐like enzymes in bacterial competitive mechanisms and pathogenesis across several lineages.
Catharina dos Santos Silva +1 more
wiley +1 more source