Détection automatique des opacités dans les mammographies par la méthode de minimisation de la somme de l'inertie

Kom, Guillaume; Tiedeu, Alain; Kom, Martin; Nguemgne, Celestine; Gonsu, Joseph

doi:10.1016/j.rbmret.2005.06.018

Cited by 6 publications

(3 citation statements)

References 10 publications

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“…include global techniques (histogram stretching, histogram equalization [43] and convolution mask [54]) and techniques with sliding window (of fixed size [31] or adaptive size [22]). This category includes also adaptive enhancement techniques such as Sobel operators [47].…”

Section: ) Conventional Techniquesmentioning

confidence: 99%

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A New CAD System for Breast Microcalcifications Diagnosis

Boulehmi¹,

Mahersia²,

Hamrouni³

2016

ijacsa

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In this paper a new approach of breast microcalcifications diagnosis on digital mammograms is introduced. The proposed approach begins with a preprocessing procedure aiming artifacts and pectoral muscle removal based on morphologic operators and contrast enhancement based on galactophorous tree interpolation.The second step of the proposed CAD system consists on segmenting microcalcifications clusters, using Generalized Gaussian Density (GGD) estimation and a Bayesian backpropagation neural network.The last step is microcalcifications characterization using morphologic features which are used to feed a neuro-fuzzy system to classify the detected breast microcalcifications into benign and malignant classes.

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Section: ) Conventional Techniquesmentioning

confidence: 99%

“…Therefore, several contrast enhancement techniques have been developed, in order to solve this issue and facilitate lesions detection [9,14,22,31,43,47,54,56] as described in the previous section.…”

Section: A Proposed Enhancement Approachmentioning

confidence: 99%

A New CAD System for Breast Microcalcifications Diagnosis

Boulehmi¹,

Mahersia²,

Hamrouni³

2016

ijacsa

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“…Breast cancer is the most common cancer in women and ranks first in the world continues to be the leading cause of death over 40 years [1]. In Morocco, breast cancer is also the first woman and according to data from the register of the Greater Casablanca 2004 the incidence standardized on the world population is about 35 cases / 100,000 women /year it represents 36% of all women's cancers.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid the Nonsubsampled Contourlet Transform and Homomorphic Filtering for Enhancing Mammograms

Taifi

Ahdid

Fakir

et al. 2015

TIJEE

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Mammogram is important for early breast cancer detection. But due to the low contrast of microcalcifications and noise, it is difficult to detect microcalcification. This paper presents a comparative study in digital mammography image enhancement based on three different algorithms: homomorphic filtering, unsharp masking and our proposed methods. This latter use a hybrid method Combining contourlet and homomorphic filtering. Performance of the given technique has been measured in terms of distribution separation measure (DSM), target-to-background enhancement measure based on standard deviation (TBES) and target-to-background enhancement measure based on entropy (TBEE). The proposed methods were tested with the referents mammography data Base MiniMIAS. Experimental results show that the proposed method improves the visibility of microcalcification.

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