Results 111 to 120 of about 488,489 (323)
Multiple sclerosis clinical decision support system based on projection to reference datasets
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1863-1873, December 2022., 2022 Abstract Objective Multiple sclerosis (MS) is a multifactorial disease with increasingly complicated management. Our objective is to use on‐demand computational power to address the challenges of dynamically managing MS. Methods A phase 3 clinical trial data (NCT00906399) were used to contextualize the medication efficacy of peg‐interferon beta‐1a vs ...
Chadia Ed‐driouch +13 more
wiley +1 more source
Ain Shams Engineering Journal, 2018 Segmentation is one of the important steps for image analysis. Multilevel thresholding image segmentation was more popular in image segmentation. Otsu and Kapur based methods are most popular for multilevel threshold image segmentation.
Sowjanya Kotte +2 more
doaj
Salt & pepper noise impact on image coding based on image splitting
Communications, 2000 The paper deals with the influence of noise and two control parameters on a segmentation method for image coding. Dynamic min_max criterion and variance criterion were used as segmentation control parameters.
Milan Karpf, Boris Simak
doaj +1 more source
A variational method in image segmentation: Existence and approximation results [PDF]
, 1992 Gianni Dal Maso +2 more
openalex +1 more source
A potential biomarker of cognitive impairment: The olfactory dysfunction and its genes expression
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1884-1897, December 2022., 2022 Abstract Objective Accumulation evidence has reported that olfactory impairment may be an essential clinical marker and predictor of mild cognitive impairment or Alzheimer's disease. Method Participants were enrolled in the population‐based, prospective study in Fuxin county, Liaoning province, China between 2019 and 2021.
Jiayi Song +11 more
wiley +1 more source
USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation [PDF]
arXivThe open-vocabulary image segmentation task involves partitioning images into semantically meaningful segments and classifying them with flexible text-defined categories. The recent vision-based foundation models such as the Segment Anything Model (SAM) have shown superior performance in generating class-agnostic image segments.
arxiv
Automated image detection and segmentation in blood smears [PDF]
, 1992 Steven S.S. Poon +2 more
openalex +1 more source
An Adaptive Color Image Segmentation
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2006 A novel Adaptive Color Image Segmentation (ACIS) System for color image segmentation is presented. The proposed ACIS system uses a neural network with architecture similar to the multilayer perceptron (MLP) network. The main difference is that neurons here uses a multisigmoid activation function.
Deshmukh, K. S., Shinde, G. N.
openaire +7 more sources
Clinical utility of cerebrospinal fluid biomarkers measured by LUMIPULSE® system
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1898-1909, December 2022., 2022 Abstract Objectives Cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease (AD) are well‐established in research settings, but their use in routine clinical practice remains a largely unexploited potential. Here, we examined the relationship between CSF biomarkers, measured by a fully automated immunoassay platform, and brain β‐amyloid (Aβ ...
Hisashi Nojima +9 more
wiley +1 more source
A New Framework for Interactive Images Segmentation [PDF]
Mehran University Research Journal of Engineering and Technology, 2017 Image segmentation has become a widely studied research problem in image processing. There exist different graph based solutions for interactive image segmentation but the domain of image segmentation still needs persistent improvements. The segmentation
MUHAMMAD ASHRAF +2 more
doaj