A comparative evaluation of two algorithms of detection of masses on mammograms

TL;DR

This paper compares two computer-aided detection algorithms for mammogram masses, evaluating their effectiveness in detection, size, and shape preservation using a 60-image database.

Contribution

It provides a comparative analysis of two distinct algorithms for mammogram mass detection, highlighting their relative strengths and weaknesses.

Findings

Algorithm 1 shows higher detection accuracy.

Algorithm 2 better preserves mass shape.

Both algorithms have specific advantages in different detection aspects.

Abstract

In this paper, we implement and carry out the comparison of two methods of computer-aided-detection of masses on mammograms. The two algorithms basically consist of 3 steps each: segmentation, binarization and noise suppression using different techniques for each step. A database of 60 images was used to compare the performance of the two algorithms in terms of general detection efficiency, conservation of size and shape of detected masses.