Integration of strategies based on relevance feedback into a tool for the retrieval of mammographic images

A. Fornells; E. Golobardes; X. Vilasís; J. Martí

doi:10.1007/11875581_14

Integration of strategies based on relevance feedback into a tool for the retrieval of mammographic images

A. Fornells^*
, E. Golobardes
, X. Vilasís
, J. Martí

^*Autor corresponent d’aquest treball

Producció científica: Capítol de llibre › Contribució a congrés/conferència › Avaluat per experts

4 Cites (Scopus)

Resum

The incidence of breast cancer varies greatly among countries, but statistics show that every year 720,000 new cases will be diagnosed world-wide. However, a high percentage of these cases can be 100% healed if they are detected in early stages. Because symptoms are not visible as far as advanced stages, it makes the treatments more aggressive and also less efficient. Therefore, it is necessary to develop new strategies to detect the formation in early stages. We have developed a tool based on a Case-Based Reasoning kernel for retrieving mammographie images by content analysis. One of the main difficulties is the introduction of knowledge and abstract concepts from domain into the retrieval process. For this reason, the article proposes integrate the human experts perceptions into it by means of an interaction between human and system using a Relevance Feedback strategy. Furthermore, the strategy uses a Self-Organization Map to cluster the memory and improve the time interaction.

Idioma original	Anglès
Títol de la publicació	Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings
Editor	Springer Verlag
Pàgines	116-124
Nombre de pàgines	9
ISBN (imprès)	3540454853, 9783540454854
DOIs	https://doi.org/10.1007/11875581_14
Estat de la publicació	Publicada - 2006
Esdeveniment	7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006 - Burgos, Spain Durada: 20 de set. 2006 → 23 de set. 2006

Sèrie de publicacions

Nom	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volum	4224 LNCS
ISSN (imprès)	0302-9743
ISSN (electrònic)	1611-3349

Conferència

Conferència	7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006
País/Territori	Spain
Ciutat	Burgos
Període	20/09/06 → 23/09/06

SDG de les Nacions Unides

Aquest resultat contribueix als següents objectius de desenvolupament sostenible.

ODS 3 Salut i benestar

Accés al document

10.1007/11875581_14

Altres arxius i enllaços

Link to publication in Scopus

Com citar-ho

Fornells, A., Golobardes, E., Vilasís, X., & Martí, J. (2006). Integration of strategies based on relevance feedback into a tool for the retrieval of mammographic images. In Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings (pàg. 116-124). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4224 LNCS). Springer Verlag. https://doi.org/10.1007/11875581_14

Fornells, A. ; Golobardes, E. ; Vilasís, X. et al. / Integration of strategies based on relevance feedback into a tool for the retrieval of mammographic images. Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings. Springer Verlag, 2006. pàg. 116-124 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{d1b1a2179a464d7e9ec58474707f1082,

title = "Integration of strategies based on relevance feedback into a tool for the retrieval of mammographic images",

abstract = "The incidence of breast cancer varies greatly among countries, but statistics show that every year 720,000 new cases will be diagnosed world-wide. However, a high percentage of these cases can be 100\% healed if they are detected in early stages. Because symptoms are not visible as far as advanced stages, it makes the treatments more aggressive and also less efficient. Therefore, it is necessary to develop new strategies to detect the formation in early stages. We have developed a tool based on a Case-Based Reasoning kernel for retrieving mammographie images by content analysis. One of the main difficulties is the introduction of knowledge and abstract concepts from domain into the retrieval process. For this reason, the article proposes integrate the human experts perceptions into it by means of an interaction between human and system using a Relevance Feedback strategy. Furthermore, the strategy uses a Self-Organization Map to cluster the memory and improve the time interaction.",

keywords = "Bioinformatics tools, Breast cancer, Case-based reasoning, Knowledge discovery \& retrieval data, Relevance feedback, Self-organization map.",

author = "A. Fornells and E. Golobardes and X. Vilas{\'i}s and J. Mart{\'i}",

year = "2006",

doi = "10.1007/11875581\_14",

language = "English",

isbn = "3540454853",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "116--124",

booktitle = "Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings",

address = "Germany",

note = "7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006 ; Conference date: 20-09-2006 Through 23-09-2006",

}

Fornells, A , Golobardes, E , Vilasís, X & Martí, J 2006, Integration of strategies based on relevance feedback into a tool for the retrieval of mammographic images. in Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4224 LNCS, Springer Verlag, pàg. 116-124, 7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006, Burgos, Spain, 20/09/06. https://doi.org/10.1007/11875581_14

Integration of strategies based on relevance feedback into a tool for the retrieval of mammographic images. / Fornells, A.; Golobardes, E.; Vilasís, X. et al.
Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings. Springer Verlag, 2006. pàg. 116-124 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4224 LNCS).

Producció científica: Capítol de llibre › Contribució a congrés/conferència › Avaluat per experts

TY - GEN

T1 - Integration of strategies based on relevance feedback into a tool for the retrieval of mammographic images

AU - Fornells, A.

AU - Golobardes, E.

AU - Vilasís, X.

AU - Martí, J.

PY - 2006

Y1 - 2006

N2 - The incidence of breast cancer varies greatly among countries, but statistics show that every year 720,000 new cases will be diagnosed world-wide. However, a high percentage of these cases can be 100% healed if they are detected in early stages. Because symptoms are not visible as far as advanced stages, it makes the treatments more aggressive and also less efficient. Therefore, it is necessary to develop new strategies to detect the formation in early stages. We have developed a tool based on a Case-Based Reasoning kernel for retrieving mammographie images by content analysis. One of the main difficulties is the introduction of knowledge and abstract concepts from domain into the retrieval process. For this reason, the article proposes integrate the human experts perceptions into it by means of an interaction between human and system using a Relevance Feedback strategy. Furthermore, the strategy uses a Self-Organization Map to cluster the memory and improve the time interaction.

AB - The incidence of breast cancer varies greatly among countries, but statistics show that every year 720,000 new cases will be diagnosed world-wide. However, a high percentage of these cases can be 100% healed if they are detected in early stages. Because symptoms are not visible as far as advanced stages, it makes the treatments more aggressive and also less efficient. Therefore, it is necessary to develop new strategies to detect the formation in early stages. We have developed a tool based on a Case-Based Reasoning kernel for retrieving mammographie images by content analysis. One of the main difficulties is the introduction of knowledge and abstract concepts from domain into the retrieval process. For this reason, the article proposes integrate the human experts perceptions into it by means of an interaction between human and system using a Relevance Feedback strategy. Furthermore, the strategy uses a Self-Organization Map to cluster the memory and improve the time interaction.

KW - Bioinformatics tools

KW - Breast cancer

KW - Case-based reasoning

KW - Knowledge discovery & retrieval data

KW - Relevance feedback

KW - Self-organization map.

UR - https://www.scopus.com/pages/publications/33750544475

U2 - 10.1007/11875581_14

DO - 10.1007/11875581_14

M3 - Conference contribution

AN - SCOPUS:33750544475

SN - 3540454853

SN - 9783540454854

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 116

EP - 124

BT - Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings

PB - Springer Verlag

T2 - 7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006

Y2 - 20 September 2006 through 23 September 2006

ER -

Fornells A , Golobardes E , Vilasís X, Martí J. Integration of strategies based on relevance feedback into a tool for the retrieval of mammographic images. In Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings. Springer Verlag. 2006. pàg. 116-124. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11875581_14

Integration of strategies based on relevance feedback into a tool for the retrieval of mammographic images

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