Comput Methods Programs Biomed - Automatic detection and characterisation of retinal vessel tree bifurcations and crossovers in eye fundus images.

Tópicos

{ structur(1116) can(940) graph(676) }
{ featur(3375) classif(2383) classifi(1994) }
{ detect(2391) sensit(1101) algorithm(908) }
{ method(1969) cluster(1462) data(1082) }
{ imag(2675) segment(2577) method(1081) }
{ case(1353) use(1143) diagnosi(1136) }
{ process(1125) use(805) approach(778) }
{ method(2212) result(1239) propos(1039) }
{ method(1219) similar(1157) match(930) }
{ patient(2315) diseas(1263) diabet(1191) }
{ assess(1506) score(1403) qualiti(1306) }
{ chang(1828) time(1643) increas(1301) }
{ control(1307) perform(991) simul(935) }
{ search(2224) databas(1162) retriev(909) }
{ perform(1367) use(1326) method(1137) }
{ research(1218) medic(880) student(794) }
{ group(2977) signific(1463) compar(1072) }
{ analysi(2126) use(1163) compon(1037) }
{ result(1111) use(1088) new(759) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ care(1570) inform(1187) nurs(1089) }
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{ studi(1410) differ(1259) use(1210) }
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{ compound(1573) activ(1297) structur(1058) }
{ studi(1119) effect(1106) posit(819) }
{ blood(1257) pressur(1144) flow(957) }
{ spatial(1525) area(1432) region(1030) }
{ record(1888) medic(1808) patient(1693) }
{ health(3367) inform(1360) care(1135) }
{ 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) }
{ signal(2180) analysi(812) frequenc(800) }
{ cost(1906) reduc(1198) effect(832) }
{ sampl(1606) size(1419) use(1276) }
{ gene(2352) biolog(1181) express(1162) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ patient(1821) servic(1111) care(1106) }
{ use(2086) technolog(871) perceiv(783) }
{ can(981) present(881) function(850) }
{ health(1844) social(1437) communiti(874) }
{ high(1669) rate(1365) level(1280) }
{ cancer(2502) breast(956) screen(824) }
{ use(976) code(926) identifi(902) }
{ use(1733) differ(960) four(931) }
{ implement(1333) system(1263) develop(1122) }
{ survey(1388) particip(1329) question(1065) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ activ(1452) weight(1219) physic(1104) }

Resumo

Analysis of retinal vessel tree characteristics is an important task in medical diagnosis, specially in cases of diseases like vessel occlusion, hypertension or diabetes. The detection and classification of feature points in the arteriovenous eye tree will increase the information about the structure allowing its use for medical diagnosis. In this work a method for detection and classification of retinal vessel tree feature points is presented. The method applies and combines imaging techniques such as filters or morphologic operations to obtain an adequate structure for the detection. Classification is performed by analysing the feature points environment. Detection and classification of feature points is validated using the VARIA database. Experimental results are compared to previous approaches showing a much higher specificity in the characterisation of feature points while slightly increasing the sensitivity. These results provide a more reliable methodology for retinal structure analysis.

Resumo Limpo

analysi retin vessel tree characterist import task medic diagnosi special case diseas like vessel occlus hypertens diabet detect classif featur point arterioven eye tree will increas inform structur allow use medic diagnosi work method detect classif retin vessel tree featur point present method appli combin imag techniqu filter morpholog oper obtain adequ structur detect classif perform analys featur point environ detect classif featur point valid use varia databas experiment result compar previous approach show much higher specif characteris featur point slight increas sensit result provid reliabl methodolog retin structur analysi

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