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

^*Corresponding author for this work

Research output: Book chapter › Conference contribution › peer-review

4 Citations (Scopus)

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.

Original language	English
Title of host publication	Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings
Publisher	Springer Verlag
Pages	116-124
Number of pages	9
ISBN (Print)	3540454853, 9783540454854
DOIs	https://doi.org/10.1007/11875581_14
Publication status	Published - 2006
Event	7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006 - Burgos, Spain Duration: 20 Sept 2006 → 23 Sept 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4224 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006
Country/Territory	Spain
City	Burgos
Period	20/09/06 → 23/09/06

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Bioinformatics tools
Breast cancer
Case-based reasoning
Knowledge discovery & retrieval data
Relevance feedback
Self-organization map.

Access to Document

10.1007/11875581_14

Cite this

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 (pp. 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. pp. 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",

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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",

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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, pp. 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. p. 116-124 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4224 LNCS).

Research output: Book chapter › Conference contribution › peer-review

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. p. 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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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