Comput Methods Programs Biomed - Supervised restoration of degraded medical images using multiple-point geostatistics.

Tópicos

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{ research(1218) medic(880) student(794) }
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{ take(945) account(800) differ(722) }
{ import(1318) role(1303) understand(862) }
{ treatment(1704) effect(941) patient(846) }
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{ method(1557) propos(1049) approach(1037) }
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{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

Reducing noise in medical images has been an important issue of research and development for medical diagnosis, patient treatment, and validation of biomedical hypotheses. Noise inherently exists in medical and biological images due to the acquisition and transmission in any imaging devices. Being different from image enhancement, the purpose of image restoration is the process of removing noise from a degraded image in order to recover as much as possible its original version. This paper presents a statistically supervised approach for medical image restoration using the concept of multiple-point geostatistics. Experimental results have shown the effectiveness of the proposed technique which has potential as a new methodology for medical and biological image processing.

Resumo Limpo

reduc nois medic imag import issu research develop medic diagnosi patient treatment valid biomed hypothes nois inher exist medic biolog imag due acquisit transmiss imag devic differ imag enhanc purpos imag restor process remov nois degrad imag order recov much possibl origin version paper present statist supervis approach medic imag restor use concept multiplepoint geostatist experiment result shown effect propos techniqu potenti new methodolog medic biolog imag process

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