Comput Methods Programs Biomed - A modular framework for the automatic classification of chromosomes in Q-band images.

Tópicos

{ featur(3375) classif(2383) classifi(1994) }
{ imag(2675) segment(2577) method(1081) }
{ structur(1116) can(940) graph(676) }
{ imag(1057) registr(996) error(939) }
{ estim(2440) model(1874) function(577) }
{ problem(2511) optim(1539) algorithm(950) }
{ signal(2180) analysi(812) frequenc(800) }
{ sequenc(1873) structur(1644) protein(1328) }
{ howev(809) still(633) remain(590) }
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{ method(2212) result(1239) propos(1039) }
{ method(1219) similar(1157) match(930) }
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{ take(945) account(800) differ(722) }
{ care(1570) inform(1187) nurs(1089) }
{ research(1085) discuss(1038) issu(1018) }
{ research(1218) medic(880) student(794) }
{ age(1611) year(1155) adult(843) }
{ first(2504) two(1366) second(1323) }
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{ perform(1367) use(1326) method(1137) }
{ blood(1257) pressur(1144) flow(957) }
{ spatial(1525) area(1432) region(1030) }
{ record(1888) medic(1808) patient(1693) }
{ health(3367) inform(1360) care(1135) }
{ model(3480) simul(1196) paramet(876) }
{ monitor(1329) mobil(1314) devic(1160) }
{ ehr(2073) health(1662) electron(1139) }
{ state(1844) use(1261) util(961) }
{ patient(2837) hospit(1953) medic(668) }
{ model(2656) set(1616) predict(1553) }
{ data(2317) use(1299) case(1017) }
{ medic(1828) order(1363) alert(1069) }
{ cost(1906) reduc(1198) effect(832) }
{ gene(2352) biolog(1181) express(1162) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ patient(1821) servic(1111) care(1106) }
{ cancer(2502) breast(956) screen(824) }
{ use(1733) differ(960) four(931) }
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{ survey(1388) particip(1329) question(1065) }
{ process(1125) use(805) approach(778) }
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{ method(1969) cluster(1462) data(1082) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

The manual analysis of the karyogram is a complex and time-consuming operation, as it requires meticulous attention to details and well-trained personnel. Routine Q-band laboratory images show chromosomes that are randomly rotated, blurred or corrupted by overlapping and dye stains. We address here the problem of robust automatic classification, which is still an open issue. The proposed method starts with an improved estimation of the chromosome medial axis, along which an established set of features is then extracted. The following novel polarization stage estimates the chromosome orientation and makes this feature set independent on the reading direction along the axis. Feature rescaling and normalizing techniques take full advantage of the results of the polarization step, reducing the intra-class and increasing the inter-class variances. After a standard neural network based classification, a novel class reassignment algorithm is employed to maximize the probability of correct classification, by exploiting the constrained composition of the human karyotype. An average 94% of correct classification was achieved by the proposed method on 5474 chromosomes, whose images were acquired during laboratory routine and comprise karyotypes belonging to slightly different prometaphase stages. In order to provide the scientific community with a public dataset, all the data we used are publicly available for download.

Resumo Limpo

manual analysi karyogram complex timeconsum oper requir meticul attent detail welltrain personnel routin qband laboratori imag show chromosom random rotat blur corrupt overlap dye stain address problem robust automat classif still open issu propos method start improv estim chromosom medial axi along establish set featur extract follow novel polar stage estim chromosom orient make featur set independ read direct along axi featur rescal normal techniqu take full advantag result polar step reduc intraclass increas interclass varianc standard neural network base classif novel class reassign algorithm employ maxim probabl correct classif exploit constrain composit human karyotyp averag correct classif achiev propos method chromosom whose imag acquir laboratori routin compris karyotyp belong slight differ prometaphas stage order provid scientif communiti public dataset data use public avail download

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