loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Arianna Mencattini ; Giulia Rabottino ; Marcello Salmeri ; Roberto Lojacono and Eleonora Tamilia

Affiliation: University of Rome Tor Vergata, Italy

Keyword(s): Breast cancer detection, Fuzzy Logic classification, Features extraction and selection

Abstract: Breast cancer is one of the most common neoplasms in women and it is a leading cause of death worldwide. A proper screening procedure can help an early diagnosis of the tumor so reducing the death risk. A suitable computer aided detection system can help the radiologist to detect many subtle signs, normally missed during the screening phase, submitting to the radiologist’s attention several regions that could contain an abnormality. However, one of the most critical problem deals with a suitable tradeoff regarding the number of suspicious zones to present to the radiologist and the capability of identify the correct ones. In this work, the classification of suspicious signs into normal tissue or massive lesion has been faced in order to get a False Positive reduction without noticeably affecting the number of True Positives.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.133.144.217

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Mencattini, A.; Rabottino, G.; Salmeri, M.; Lojacono, R. and Tamilia, E. (2011). Features Extraction and Fuzzy Logic based Classification for False Positives Reduction in Mammographic Images. In Proceedings of the 2nd International Workshop on Medical Image Analysis and Description for Diagnosis Systems (BIOSTEC 2011) - MIAD; ISBN 978-989-8425-38-6, SciTePress, pages 13-25. DOI: 10.5220/0003303500130025

@conference{miad11,
author={Arianna Mencattini. and Giulia Rabottino. and Marcello Salmeri. and Roberto Lojacono. and Eleonora Tamilia.},
title={Features Extraction and Fuzzy Logic based Classification for False Positives Reduction in Mammographic Images},
booktitle={Proceedings of the 2nd International Workshop on Medical Image Analysis and Description for Diagnosis Systems (BIOSTEC 2011) - MIAD},
year={2011},
pages={13-25},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003303500130025},
isbn={978-989-8425-38-6},
}

TY - CONF

JO - Proceedings of the 2nd International Workshop on Medical Image Analysis and Description for Diagnosis Systems (BIOSTEC 2011) - MIAD
TI - Features Extraction and Fuzzy Logic based Classification for False Positives Reduction in Mammographic Images
SN - 978-989-8425-38-6
AU - Mencattini, A.
AU - Rabottino, G.
AU - Salmeri, M.
AU - Lojacono, R.
AU - Tamilia, E.
PY - 2011
SP - 13
EP - 25
DO - 10.5220/0003303500130025
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic