IEEE Trans Image Process - A Bayesian framework for image segmentation with spatially varying mixtures.

Tópicos

{ model(3404) distribut(989) bayesian(671) }
{ imag(2830) propos(1344) filter(1198) }
{ learn(2355) train(1041) set(1003) }
{ spatial(1525) area(1432) region(1030) }
{ method(984) reconstruct(947) comput(926) }
{ result(1111) use(1088) new(759) }
{ time(1939) patient(1703) rate(768) }
{ method(1969) cluster(1462) data(1082) }
{ imag(2675) segment(2577) method(1081) }
{ problem(2511) optim(1539) algorithm(950) }
{ model(2220) cell(1177) simul(1124) }
{ first(2504) two(1366) second(1323) }
{ can(981) present(881) function(850) }
{ implement(1333) system(1263) develop(1122) }
{ algorithm(1844) comput(1787) effici(935) }
{ case(1353) use(1143) diagnosi(1136) }
{ detect(2391) sensit(1101) algorithm(908) }
{ data(1737) use(1416) pattern(1282) }
{ system(1976) rule(880) can(841) }
{ bind(1733) structur(1185) ligand(1036) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ concept(1167) ontolog(924) domain(897) }
{ general(901) number(790) one(736) }
{ research(1085) discuss(1038) issu(1018) }
{ compound(1573) activ(1297) structur(1058) }
{ health(3367) inform(1360) care(1135) }
{ state(1844) use(1261) util(961) }
{ health(1844) social(1437) communiti(874) }
{ can(774) often(719) complex(702) }
{ imag(1947) propos(1133) code(1026) }
{ inform(2794) health(2639) internet(1427) }
{ measur(2081) correl(1212) valu(896) }
{ imag(1057) registr(996) error(939) }
{ sequenc(1873) structur(1644) protein(1328) }
{ method(1219) similar(1157) match(930) }
{ featur(3375) classif(2383) classifi(1994) }
{ network(2748) neural(1063) input(814) }
{ patient(2315) diseas(1263) diabet(1191) }
{ take(945) account(800) differ(722) }
{ studi(2440) review(1878) systemat(933) }
{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
{ treatment(1704) effect(941) patient(846) }
{ framework(1458) process(801) describ(734) }
{ error(1145) method(1030) estim(1020) }
{ chang(1828) time(1643) increas(1301) }
{ clinic(1479) use(1117) guidelin(835) }
{ extract(1171) text(1153) clinic(932) }
{ method(1557) propos(1049) approach(1037) }
{ data(1714) softwar(1251) tool(1186) }
{ design(1359) user(1324) use(1319) }
{ control(1307) perform(991) simul(935) }
{ care(1570) inform(1187) nurs(1089) }
{ search(2224) databas(1162) retriev(909) }
{ featur(1941) imag(1645) propos(1176) }
{ howev(809) still(633) remain(590) }
{ data(3963) clinic(1234) research(1004) }
{ studi(1410) differ(1259) use(1210) }
{ risk(3053) factor(974) diseas(938) }
{ perform(999) metric(946) measur(919) }
{ system(1050) medic(1026) inform(1018) }
{ import(1318) role(1303) understand(862) }
{ model(2341) predict(2261) use(1141) }
{ visual(1396) interact(850) tool(830) }
{ perform(1367) use(1326) method(1137) }
{ studi(1119) effect(1106) posit(819) }
{ blood(1257) pressur(1144) flow(957) }
{ record(1888) medic(1808) patient(1693) }
{ model(3480) simul(1196) paramet(876) }
{ monitor(1329) mobil(1314) devic(1160) }
{ ehr(2073) health(1662) electron(1139) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ model(2656) set(1616) predict(1553) }
{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ signal(2180) analysi(812) frequenc(800) }
{ cost(1906) reduc(1198) effect(832) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ patient(1821) servic(1111) care(1106) }
{ use(2086) technolog(871) perceiv(783) }
{ analysi(2126) use(1163) compon(1037) }
{ structur(1116) can(940) graph(676) }
{ high(1669) rate(1365) level(1280) }
{ cancer(2502) breast(956) screen(824) }
{ use(976) code(926) identifi(902) }
{ use(1733) differ(960) four(931) }
{ drug(1928) target(777) effect(648) }
{ survey(1388) particip(1329) question(1065) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ activ(1452) weight(1219) physic(1104) }
{ method(2212) result(1239) propos(1039) }

Resumo

A new Bayesian model is proposed for image segmentation based upon Gaussian mixture models (GMM) with spatial smoothness constraints. This model exploits the Dirichlet compound multinomial (DCM) probability density to model the mixing proportions (i.e., the probabilities of class labels) and a Gauss-Markov random field (MRF) on the Dirichlet parameters to impose smoothness. The main advantages of this model are two. First, it explicitly models the mixing proportions as probability vectors and simultaneously imposes spatial smoothness. Second, it results in closed form parameter updates using a maximum a posteriori (MAP) expectation-maximization (EM) algorithm. Previous efforts on this problem used models that did not model the mixing proportions explicitly as probability vectors or could not be solved exactly requiring either time consuming Markov Chain Monte Carlo (MCMC) or inexact variational approximation methods. Numerical experiments are presented that demonstrate the superiority of the proposed model for image segmentation compared to other GMM-based approaches. The model is also successfully compared to state of the art image segmentation methods in clustering both natural images and images degraded by noise.

Resumo Limpo

new bayesian model propos imag segment base upon gaussian mixtur model gmm spatial smooth constraint model exploit dirichlet compound multinomi dcm probabl densiti model mix proport ie probabl class label gaussmarkov random field mrf dirichlet paramet impos smooth main advantag model two first explicit model mix proport probabl vector simultan impos spatial smooth second result close form paramet updat use maximum posteriori map expectationmaxim em algorithm previous effort problem use model model mix proport explicit probabl vector solv exact requir either time consum markov chain mont carlo mcmc inexact variat approxim method numer experi present demonstr superior propos model imag segment compar gmmbase approach model also success compar state art imag segment method cluster natur imag imag degrad nois

Resumos Similares

Lifetime Data Anal - Bayesian nonparametric models for ranked set sampling. ( 0,814043893546989 )
Res Synth Methods - A Bayesian nonparametric meta-analysis model. ( 0,812648459721592 )
Comput Math Methods Med - Bayesian hierarchical modeling for categorical longitudinal data from sedation measurements. ( 0,811555868444279 )
AMIA Annu Symp Proc - Testing the calibration of classification models from first principles. ( 0,810927334091709 )
IEEE Trans Pattern Anal Mach Intell - Are Gibbs-Type Priors the Most Natural Generalization of the Dirichlet Process? ( 0,810678433285522 )
IEEE Trans Image Process - Bayesian robust principal component analysis. ( 0,806792024025618 )
Spat Spatiotemporal Epidemiol - A Bayesian space-time model for discrete spread processes on a lattice. ( 0,805736725052305 )
J. Comput. Biol. - Computational methods for a class of network models. ( 0,794719950652537 )
IEEE Trans Image Process - Variational Bayesian method for Retinex. ( 0,787327895320419 )
Neural Comput - A semiparametric Bayesian model for detecting synchrony among multiple neurons. ( 0,784969591430032 )
IEEE Trans Image Process - Computationally tractable stochastic image modeling based on symmetric Markov mesh random fields. ( 0,780071002586323 )
Spat Spatiotemporal Epidemiol - Goodness-of-fit measures for individual-level models of infectious disease in a Bayesian framework. ( 0,768578211126207 )
IEEE Trans Pattern Anal Mach Intell - Modeling Natural Images Using Gated MRFs. ( 0,766658338082108 )
Spat Spatiotemporal Epidemiol - Inference from ecological models: estimating the relative risk of stroke from air pollution exposure using small area data. ( 0,765083171498089 )
Comput Math Methods Med - Bayesian inference of the Weibull model based on interval-censored survival data. ( 0,764834884934105 )
J. Comput. Biol. - A spatial haplotype copying model with applications to genotype imputation. ( 0,764556913445404 )
IEEE Trans Image Process - Blind separation of time/position varying mixtures. ( 0,76180699470972 )
Med Decis Making - Calibration of complex models through Bayesian evidence synthesis: a demonstration and tutorial. ( 0,756780111848354 )
Comput Math Methods Med - Inference for ecological dynamical systems: a case study of two endemic diseases. ( 0,755625583750788 )
IEEE Trans Image Process - Posterior-mean super-resolution with a causal Gaussian Markov random field prior. ( 0,755608579449665 )
IEEE Trans Image Process - Automatic image equalization and contrast enhancement using Gaussian mixture modeling. ( 0,752654456311351 )
Lifetime Data Anal - Bayesian semiparametric modeling for stochastic precedence, with applications in epidemiology and survival analysis. ( 0,751932236720037 )
Comput. Biol. Med. - Expectation-maximization technique for fibro-glandular discs detection in mammography images. ( 0,750614153948556 )
IEEE Trans Neural Netw Learn Syst - Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data. ( 0,739595720804932 )
Neural Comput - Bayesian sparse partial least squares. ( 0,73741873989854 )
Med Decis Making - Bayesian calibration of a natural history model with application to a population model for colorectal cancer. ( 0,73699624896977 )
Med Decis Making - Not simply more of the same: distinguishing between patient heterogeneity and parameter uncertainty. ( 0,72897119961204 )
IEEE Trans Image Process - Bayesian estimation of linear mixtures using the normal compositional model. Application to hyperspectral imagery. ( 0,728721372634388 )
Spat Spatiotemporal Epidemiol - A space-time point process model for analyzing and predicting case patterns of diarrheal disease in northwestern Ecuador. ( 0,727324237398638 )
Comput Methods Programs Biomed - The exponentiated exponential mixture and non-mixture cure rate model in the presence of covariates. ( 0,723434332793069 )
IEEE Trans Pattern Anal Mach Intell - Negative Binomial Process Count and Mixture Modeling. ( 0,721297012032681 )
Spat Spatiotemporal Epidemiol - Bayesian hierarchical modeling of the dynamics of spatio-temporal influenza season outbreaks. ( 0,712582149621979 )
Lifetime Data Anal - Bayesian local influence for survival models. ( 0,712269752497668 )
Neural Comput - Universal approximation depth and errors of narrow belief networks with discrete units. ( 0,712138627145599 )
IEEE Trans Image Process - Blind image quality assessment: a natural scene statistics approach in the DCT domain. ( 0,711105724878804 )
Int J Health Geogr - Gumbel based p-value approximations for spatial scan statistics. ( 0,710527899322711 )
IEEE Trans Image Process - Generative Bayesian image super resolution with natural image prior. ( 0,709517352113284 )
Neural Comput - Efficient Markov chain Monte Carlo methods for decoding neural spike trains. ( 0,706858417286061 )
Spat Spatiotemporal Epidemiol - The detection of spatially localised outbreaks in campylobacteriosis notification data. ( 0,705612349889207 )
Artif Intell Med - On the interplay of machine learning and background knowledge in image interpretation by Bayesian networks. ( 0,703980716982349 )
IEEE Trans Neural Netw Learn Syst - Generalized multiple kernel learning with data-dependent priors. ( 0,703659913798594 )
Res Synth Methods - Bayesian model selection for meta-analysis of diagnostic test accuracy data: Application to Ddimer for deep vein thrombosis. ( 0,698987408506459 )
IEEE Trans Image Process - Bayesian nonparametric dictionary learning for compressed sensing MRI. ( 0,696063375424227 )
J Biomed Inform - Learning patient-specific predictive models from clinical data. ( 0,695787284142673 )
Neural Comput - Determination and the no-free-lunch paradox. ( 0,69450261300189 )
Comput Methods Programs Biomed - Life prediction of different commercial dental implants as influence by uncertainties in their fatigue material properties and loading conditions. ( 0,693247268531206 )
Res Synth Methods - Random-effects meta-analysis of time-to-event data using the expectation-maximisation algorithm and shrinkage estimators. ( 0,69187171395499 )
Res Synth Methods - Critical interpretation of Cochran's Q test depends on power and prior assumptions about heterogeneity. ( 0,691847081944081 )
Comput Math Methods Med - An empirical Bayes optimal discovery procedure based on semiparametric hierarchical mixture models. ( 0,691596732090234 )
Med Biol Eng Comput - A poisson process model for hip fracture risk. ( 0,690081307900575 )
IEEE Trans Image Process - Bayesian inference of models and hyperparameters for robust optical-flow estimation. ( 0,688997582262414 )
J Biomed Inform - Link-topic model for biomedical abbreviation disambiguation. ( 0,688848886951053 )
Neural Comput - Learning coefficient of generalization error in Bayesian estimation and vandermonde matrix-type singularity. ( 0,688703196526066 )
IEEE Trans Image Process - A study of multiplicative watermark detection in the contourlet domain using alpha-stable distributions. ( 0,687692571347752 )
Neural Comput - Multiple tests based on a gaussian approximation of the unitary events method with delayed coincidence count. ( 0,687329669019205 )
Comput. Biol. Med. - Parameterization of the distribution of white and grey matter in MRI using the a-stable distribution. ( 0,686129802411148 )
Med Decis Making - Assessing uncertainties surrounding combined endpoints for use in economic models. ( 0,685648485435406 )
IEEE Trans Image Process - Probabilistic image modeling with an extended chain graph for human activity recognition and image segmentation. ( 0,684495699391862 )
J. Comput. Biol. - On the inference of dirichlet mixture priors for protein sequence comparison. ( 0,683134801608748 )
J. Comput. Biol. - Expectation-maximization algorithm for determining natural selection of Y-linked genes through two-sex branching processes. ( 0,677881528351031 )
Neural Comput - Causal discovery via reproducing kernel Hilbert space embeddings. ( 0,670659564969526 )
IEEE Trans Image Process - Bayesian technique for image classifying registration. ( 0,6692214416711 )
Comput Methods Programs Biomed - Identification of an integrated mathematical model of standard oral glucose tolerance test for characterization of insulin potentiation in health. ( 0,667319780345851 )
Comput Methods Programs Biomed - A Bayesian multilevel model for fMRI data analysis. ( 0,66676118373394 )
AMIA Annu Symp Proc - Learning to predict post-hospitalization VTE risk from EHR data. ( 0,665679643796093 )
Neural Comput - Efficient sensory encoding and Bayesian inference with heterogeneous neural populations. ( 0,659970613584699 )
IEEE Trans Image Process - A Bayesian hierarchical factorization model for vector fields. ( 0,659722762547193 )
IEEE Trans Image Process - Single image super-resolution with non-local means and steering kernel regression. ( 0,657453765911834 )
IEEE Trans Pattern Anal Mach Intell - Causal Inference on Discrete Data using Additive Noise Models. ( 0,652931099861281 )
Res Synth Methods - A basic introduction to fixed-effect and random-effects models for meta-analysis. ( 0,652322080757356 )
Artif Intell Med - Impact of precision of Bayesian network parameters on accuracy of medical diagnostic systems. ( 0,646730403977496 )
IEEE Trans Vis Comput Graph - The Perception of Visual Uncertainty Representation by Non-Experts. ( 0,646575213249021 )
IEEE Trans Neural Netw Learn Syst - Robust Novelty Detection via Worst Case CVaR Minimization. ( 0,642508558936396 )
IEEE Trans Image Process - Studentized dynamical system for robust object tracking. ( 0,642229194437131 )
Spat Spatiotemporal Epidemiol - Foot and mouth disease revisited: re-analysis using Bayesian spatial susceptible-infectious-removed models. ( 0,64106237824884 )
IEEE Trans Image Process - Joint NDT image restoration and segmentation using Gauss-Markov-Potts prior models and variational Bayesian computation. ( 0,640606871049428 )
Brief. Bioinformatics - Iteratively reweighted LASSO for mapping multiple quantitative trait loci. ( 0,638100727175757 )
IEEE Trans Image Process - Counting people with low-level features and Bayesian regression. ( 0,634891197382672 )
IEEE Trans Image Process - Shape-based normalized cuts using spectral relaxation for biomedical segmentation. ( 0,634270796519198 )
Med Decis Making - Accounting for methodological, structural, and parameter uncertainty in decision-analytic models: a practical guide. ( 0,632954669559086 )
Comput Methods Programs Biomed - NIMROD: a program for inference via a normal approximation of the posterior in models with random effects based on ordinary differential equations. ( 0,63257362388769 )
Comput Methods Programs Biomed - Multivariate Bayesian modeling of known and unknown causes of events--an application to biosurveillance. ( 0,631096560095518 )
Spat Spatiotemporal Epidemiol - Mapping gender variation in the spatial pattern of alcohol-related mortality: a Bayesian analysis using data from South Yorkshire, United Kingdom. ( 0,629795687638975 )
IEEE J Biomed Health Inform - Sparsity-inspired nonparametric probability characterization for radio propagation in body area networks. ( 0,629259480913632 )
IEEE Trans Neural Netw Learn Syst - Incorporating Wind Power Forecast Uncertainties Into Stochastic Unit Commitment Using Neural Network-Based Prediction Intervals. ( 0,627791921985332 )
Neural Comput - Attention as reward-driven optimization of sensory processing. ( 0,626289917948247 )
IEEE Trans Pattern Anal Mach Intell - Gaussian Process-Mixture Conditional Heteroscedasticity. ( 0,621408313907624 )
Neural Comput - Bayesian community detection. ( 0,621317134660186 )
IEEE Trans Pattern Anal Mach Intell - Background Subtraction with Dirichlet Process Mixture Models. ( 0,620958669672325 )
Comput Methods Programs Biomed - On the prediction of glucose concentration under intra-patient variability in type 1 diabetes: a monotone systems approach. ( 0,620660220333124 )
Med Decis Making - Exploring model uncertainty in economic evaluation of health interventions: the example of rotavirus vaccination in Vietnam. ( 0,619920977610437 )
BMC Med Inform Decis Mak - A simulation model of colorectal cancer surveillance and recurrence. ( 0,619471134494145 )
IEEE Trans Image Process - SAR-based terrain classification using weakly supervised hierarchical Markov aspect models. ( 0,618603796382006 )
IEEE Trans Image Process - Single-image refocusing and defocusing. ( 0,617508188513925 )
Med Decis Making - Linear regression metamodeling as a tool to summarize and present simulation model results. ( 0,617204140617862 )
IEEE Trans Pattern Anal Mach Intell - Articulated Human Detection with Flexible Mixtures-of-Parts. ( 0,616763415061223 )
J. Comput. Biol. - Characterizing the empirical distribution of prokaryotic genome n-mers in the presence of nullomers. ( 0,616589654411187 )
Med Decis Making - Comparing Bayesian and frequentist approaches for multiple outcome mixed treatment comparisons. ( 0,615936818668597 )
IEEE Trans Image Process - Separable Markov random field model and its applications in low level vision. ( 0,613326670465686 )
IEEE Trans Pattern Anal Mach Intell - Single Image Haze Removal Using Dark Channel Prior. ( 0,613259502066217 )