Shape-based and texture-based feature extraction for classification of microcalcifications in mammograms

被引:6
|
作者
Soltanian-Zadeh, H [1 ]
Pourabdollah-Nezhad, S [1 ]
Rafiee-Rad, F [1 ]
机构
[1] Univ Tehran, Dept Elect & Comp Engn, Tehran, Iran
关键词
microcalcification; mammogram; feature extraction; texture features; shape features; classification; image processing;
D O I
10.1117/12.431100
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents and compares two image processing methods for differentiating benign from malignant microcalcifications in mammograms. The gold standard method for differentiating benign from malignant microcalcifications is biopsy, which is invasive. The goal of the proposed methods is to reduce rate of biopsies with negative results. In the first method, we extract 17 shape features from each mammogram. These features are related to shapes of individual microcalcifications or to their clusters. In the second method, we extract 44 texture features from each mammogram. using co-occurrence method of Haralick. Next we select best features from each set using a genetic algorithm to maximize area under ROC curve. This curve is created using a k-nearest neighbor (kNN) classifier and a malignancy criterion. Finally, we evaluate the methods by comparing ROC's with greatest areas obtained using each method. We applied the proposed methods, with different values of k in kNN classifier, to 74 malignant and 29 benign microcalcification clusters. Truth for each mammogram. was established based on the biopsy results. We found greatest area under ROC curve for each set of features used in each method. For shape features this area was 0.82 (k = 7) and for Haralick features it was 0.72 (k = 9).
引用
收藏
页码:301 / 310
页数:4
相关论文
共 50 条
  • [1] Comparative Study of a Shape-Based and a Texture-Based Feature Extraction Technique for Mass Classification in Digital Mammograms
    Adeyemo, Temitope T.
    Olowoye, Adebola O.
    Adepoju, Temilola M.
    Omidiora, Elijah O.
    Olabiyisi, Stephen O.
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE (ICPRAI 2018), 2018, : 576 - 581
  • [2] Texture-based analysis of clustered microcalcifications detected on mammograms
    Tiedeu, Alain
    Daul, Christian
    Kentsop, Aude
    Graebling, Pierre
    Wolf, Didier
    [J]. DIGITAL SIGNAL PROCESSING, 2012, 22 (01) : 124 - 132
  • [3] Classification of microcalcifications using texture-based features
    Meersman, D
    Scheunders, P
    Van Dyck, D
    [J]. DIGITAL MAMMOGRAPHY, 1998, 13 : 233 - 236
  • [4] Feature Extraction for Classification of Microcalcifications and Mass Lesions in Mammograms
    Panda, Rabi Narayan
    Panigrahi, Bijay Ketan
    Patro, Manas Ranjan
    [J]. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2009, 9 (05): : 255 - 265
  • [5] Texture-based features for classification of mammograms using decision tree
    Aswini Kumar Mohanty
    Manas Ranjan Senapati
    Swapnasikta Beberta
    Saroj Kumar Lenka
    [J]. Neural Computing and Applications, 2013, 23 : 1011 - 1017
  • [6] Texture-based features for classification of mammograms using decision tree
    Mohanty, Aswini Kumar
    Senapati, Manas Ranjan
    Beberta, Swapnasikta
    Lenka, Saroj Kumar
    [J]. NEURAL COMPUTING & APPLICATIONS, 2013, 23 (3-4): : 1011 - 1017
  • [7] Segmentation and feature extraction for reliable classification of microcalcifications in digital mammograms
    Wróblewska, A
    Boninski, P
    Przelaskowski, A
    Kazubek, M
    [J]. OPTO-ELECTRONICS REVIEW, 2003, 11 (03) : 227 - 235
  • [8] Feature Selection for Texture-Based Plant Leaves Classification
    Elnemr, Heba A.
    [J]. 2017 INTL CONF ON ADVANCED CONTROL CIRCUITS SYSTEMS (ACCS) SYSTEMS & 2017 INTL CONF ON NEW PARADIGMS IN ELECTRONICS & INFORMATION TECHNOLOGY (PEIT), 2017, : 91 - 96
  • [9] Automatic classification of skin burn colour images using texture-based feature extraction
    Sevik, Ugur
    Karakullukcu, Erdinc
    Berber, Tolga
    Akbas, Yesim
    Turkyilmaz, Serdar
    [J]. IET IMAGE PROCESSING, 2019, 13 (11) : 2018 - 2028
  • [10] Texture feature extraction methods for microcalcification classification in mammograms
    Soltanian-Zadeh, H
    Pourabdollah-Nezhad, S
    Rafiee-Rad, F
    [J]. MEDICAL IMAGING 2000: IMAGE PROCESSING, PTS 1 AND 2, 2000, 3979 : 982 - 989