Pigmented network structure detection using semi-smart adaptive filters

2012
book section
conference proceedings
3
dc.abstract.enThis paper demonstrates a method for detecting pigment based dermatoscopic structure called pigment network. This structure is used in dermatoscopy as one of the criteria in clinical evaluation of pigmented skin lesions and can indicate if a lesion is of malignant nature. For detection process we have developed an adaptive filter, inspired by Swarm Intelligence (SI) optimization algorithms. The introduced filtering method is applied in a non-linear manner, to processed dermatoscopic image of a skin lesion. The non-linear approach derives from SI algorithms, and allows selective image filtering. In the beginning of filtration process, the filters (agents) are randomly applied to sections of the image, where each of them adapts its output based on the neighborhood surrounding it. Agents share its information with other agents that are located in immediate vicinity. This is a new approach to the problem of dermatoscopic structure detection, and it is highly flexible, as it can be applied to images without the need of previous pre-processing stage. This feature is highly desirable, mainly due to the fact that in most cases of computer aided diagnostic, input images need to be pre-processed (e.g.: brightness normalization, histogram equation, contrast enhancement, color normalization) and results of this can introduce unwanted artifacts, so this step need to be verified by human. Results of applying the introduced method can be used as one of the differential structures criteria for calculating the Total Dermatoscopy Score (TDS) of the ABCD rule.pl
dc.affiliationWydział Fizyki, Astronomii i Informatyki Stosowanej : Zakład Technologii Informatycznychpl
dc.conference6th International Conference on Systems Biology (ISB)pl
dc.conference6th International Conference on Systems Biology (ISB)
dc.conference.cityXi’an
dc.conference.countryChińska Republika Ludowa
dc.conference.datefinish2012-08-20
dc.conference.datestart2012-08-18
dc.conference.indexscopustrue
dc.contributor.authorNowak, Leszek - 114527 pl
dc.contributor.authorPawłowski, Marcin - 120275 pl
dc.contributor.authorOgorzałek, Maciej - 102456 pl
dc.contributor.editorChen, Luonanpl
dc.contributor.editorZhang, Xiang-Sunpl
dc.contributor.editorWu, Ling-Yunpl
dc.contributor.editorWang, Yongpl
dc.date.accessioned2016-05-12T10:06:20Z
dc.date.available2016-05-12T10:06:20Z
dc.date.issued2012pl
dc.description.conftypeinternationalpl
dc.description.physical310-314pl
dc.description.publication0,3pl
dc.identifier.doi10.1109/ISB.2012.6314155pl
dc.identifier.eisbn978-1-4673-4397-8pl
dc.identifier.isbn978-1-4673-4396-1pl
dc.identifier.urihttp://ruj.uj.edu.pl/xmlui/handle/item/25649
dc.languageengpl
dc.language.containerengpl
dc.pubinfo[s.l.] : IEEEpl
dc.rightsDodaję tylko opis bibliograficzny*
dc.rights.uri*
dc.subtypeConferenceProceedingspl
dc.titlePigmented network structure detection using semi-smart adaptive filterspl
dc.title.container2012 IEEE 6th International Conference on Systems Biology (ISB) : Xi’an, China, August 18-20, 2012pl
dc.typeBookSectionpl
dspace.entity.typePublication
dc.abstract.enpl
This paper demonstrates a method for detecting pigment based dermatoscopic structure called pigment network. This structure is used in dermatoscopy as one of the criteria in clinical evaluation of pigmented skin lesions and can indicate if a lesion is of malignant nature. For detection process we have developed an adaptive filter, inspired by Swarm Intelligence (SI) optimization algorithms. The introduced filtering method is applied in a non-linear manner, to processed dermatoscopic image of a skin lesion. The non-linear approach derives from SI algorithms, and allows selective image filtering. In the beginning of filtration process, the filters (agents) are randomly applied to sections of the image, where each of them adapts its output based on the neighborhood surrounding it. Agents share its information with other agents that are located in immediate vicinity. This is a new approach to the problem of dermatoscopic structure detection, and it is highly flexible, as it can be applied to images without the need of previous pre-processing stage. This feature is highly desirable, mainly due to the fact that in most cases of computer aided diagnostic, input images need to be pre-processed (e.g.: brightness normalization, histogram equation, contrast enhancement, color normalization) and results of this can introduce unwanted artifacts, so this step need to be verified by human. Results of applying the introduced method can be used as one of the differential structures criteria for calculating the Total Dermatoscopy Score (TDS) of the ABCD rule.
dc.affiliationpl
Wydział Fizyki, Astronomii i Informatyki Stosowanej : Zakład Technologii Informatycznych
dc.conferencepl
6th International Conference on Systems Biology (ISB)
dc.conference
6th International Conference on Systems Biology (ISB)
dc.conference.city
Xi’an
dc.conference.country
Chińska Republika Ludowa
dc.conference.datefinish
2012-08-20
dc.conference.datestart
2012-08-18
dc.conference.indexscopus
true
dc.contributor.authorpl
Nowak, Leszek - 114527
dc.contributor.authorpl
Pawłowski, Marcin - 120275
dc.contributor.authorpl
Ogorzałek, Maciej - 102456
dc.contributor.editorpl
Chen, Luonan
dc.contributor.editorpl
Zhang, Xiang-Sun
dc.contributor.editorpl
Wu, Ling-Yun
dc.contributor.editorpl
Wang, Yong
dc.date.accessioned
2016-05-12T10:06:20Z
dc.date.available
2016-05-12T10:06:20Z
dc.date.issuedpl
2012
dc.description.conftypepl
international
dc.description.physicalpl
310-314
dc.description.publicationpl
0,3
dc.identifier.doipl
10.1109/ISB.2012.6314155
dc.identifier.eisbnpl
978-1-4673-4397-8
dc.identifier.isbnpl
978-1-4673-4396-1
dc.identifier.uri
http://ruj.uj.edu.pl/xmlui/handle/item/25649
dc.languagepl
eng
dc.language.containerpl
eng
dc.pubinfopl
[s.l.] : IEEE
dc.rights*
Dodaję tylko opis bibliograficzny
dc.rights.uri*
dc.subtypepl
ConferenceProceedings
dc.titlepl
Pigmented network structure detection using semi-smart adaptive filters
dc.title.containerpl
2012 IEEE 6th International Conference on Systems Biology (ISB) : Xi’an, China, August 18-20, 2012
dc.typepl
BookSection
dspace.entity.type
Publication

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