Shape-based tumor retrieval in mammograms using relevance-feedback techniques

Authors:
Stylianos D. Tzikopoulos;Harris V. Georgiou;Michael E. Mavroforakis;Sergios Theodoridis
Affiliations:
National and Kapodistrian University of Athens, Dept. of Informatics and Telecommunications, Ilissia, Athens, Greece;National and Kapodistrian University of Athens, Dept. of Informatics and Telecommunications, Ilissia, Athens, Greece;University of Houston, Department of Computer Science, Houston, TX;National and Kapodistrian University of Athens, Dept. of Informatics and Telecommunications, Ilissia, Athens, Greece
Venue:
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
Year:
2010

Citing 13
Cited 1

Content-Based Image Retrieval at the End of the Early Years

IEEE Transactions on Pattern Analysis and Machine Intelligence
Support vector machine active learning for image retrieval

MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Relevance Feedback using Support Vector Machines

ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Digital Image Processing (3rd Edition)

Digital Image Processing (3rd Edition)
Automatic Information Organization and Retrieval.

Automatic Information Organization and Retrieval.
Estimation of Dependences Based on Empirical Data: Springer Series in Statistics (Springer Series in Statistics)

Estimation of Dependences Based on Empirical Data: Springer Series in Statistics (Springer Series in Statistics)
Content-based image retrieval: approaches and trends of the new age

Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
A Relevance Feedback Method in Medical Image Retrieval Based on Bayesian Theory

BMEI '08 Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics - Volume 01
Pattern Recognition, Fourth Edition

Pattern Recognition, Fourth Edition
A Framework for Medical Image Retrieval Using Machine Learning and Statistical Similarity Matching Techniques With Relevance Feedback

IEEE Transactions on Information Technology in Biomedicine
Relevance feedback: a power tool for interactive content-based image retrieval

IEEE Transactions on Circuits and Systems for Video Technology
A geometric approach to Support Vector Machine (SVM) classification

IEEE Transactions on Neural Networks
A Geometric Nearest Point Algorithm for the Efficient Solution of the SVM Classification Task

IEEE Transactions on Neural Networks

A fuzzy rule-based approach for characterization of mammogram masses into BI-RADS shape categories

Computers in Biology and Medicine

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents an experimental "morphological analysis" retrieval system for mammograms, using Relevance-Feedback techniques. The features adopted are first-order statistics of the Normalized Radial Distance, extracted from the annotated mass boundary. The system is evaluated on an extensive dataset of 2274 masses of the DDSM database, which involves 7 distinct classes. The experiments verify that the involvement of the radiologist as part of the retrieval process improves the results, even for such a hard classification task, reaching the precision rate of almost 90%. Therefore, Relevance-Feedback can be employed as a very useful complementary tool to a Computer Aided Diagnosis system.