Archives

  • 2019-07
  • 2019-08
  • 2019-09
  • 2019-10
  • 2019-11
  • 2020-03
  • 2020-07
  • 2020-08
  • br Published by Elsevier B V on behalf of Nalecz

    2020-08-18


    © 2019 Published by Elsevier B.V. on behalf of Nalecz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences.
    * Corresponding author at: SGGS Institute of Engineering & Technology, Nanded, Maharashtra 431606, India.
    E-mail address: [email protected] (S. Sapate).
    0208-5216/© 2019 Published by Elsevier B.V. on behalf of Nalecz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences.
    Please cite this article in press as: Sapate S, et al. Breast cancer diagnosis using abnormalities on ipsilateral views of digital mammograms. Biocybern Biomed Eng (2019), https://doi.org/10.1016/j.bbe.2019.04.008
    mance of CAD with proper balance of sensitivity and 73
    1. Introduction
    specificity is crucial for accurate diagnosis and treatment 74
    [15]. This becomes easy with CC and MLO views together. The 75
    16 Q2 Early detection is viewed as the best hope to reduce the breast recent studies have shown that the two view systems can 76
    cancer mortality by allowing timely treatment at an earlier improve the detection and diagnosis of breast abnormalities 77
    cancer progression stage. The imaging techniques such as X- and can become the effective alternative as a second reader to 78
    ray, MRI, ultrasound, etc. are widely used for detection, radiologists [16]. 79
    diagnosis, and treatment of abnormalities that can be The CAD systems combining the advantages of single 80
    cancerous [1]. Mammography is the most reliable cost- view and two view systems can be useful as a simulta- 81
    effective imaging modality used by choice for early detection neous mammograms analysis tool for the radiologists [17]. 82
    of breast cancer [2]. Full-field digital mammography (FFDM) Accordingly, we propose a different fusion based CAD 83
    provides a high GW-311616 high-resolution images which are system that leverages advantages of existing approaches 84
    found useful in improving an efficacy and performance of with improved case-based lesion detection and diagnosis 85
    mammography [3]. Particularly, the FFDM images are more at a comparable false positive (FP) rate. The dual view 86
    significant in the mammographic screening of dense breasts of analysis framework presented in this article is different 87
    younger women [4]. The majority of breast cancers detected in than other conventional ipsilateral mammograms analysis 88
    symptomatic patients during screening mammography ap- techniques as follows. 89
    pear as masses within a range of 5–20 mm in diameter. It selects the width of annular region dynamically based on 90
    Visibility of masses smaller than 5 mm is rare and sometimes 921
    the nonpalpable masses larger than 20 mm are not visible on size of the lesion and the breast to match the corresponding 932
    mammogram [5]. During mammography, two projection views pairs of suspicious lesions from CC and MLO view. 943
    namely CC and MLO views, known as ipsilateral views, are Idea of template matching using selected set of similarity 9645
    routinely obtained for each breast [6]. As ipsilateral views features towards improving lesion pairing on ipsilateral 975
    encompass the entire breast parenchyma from two different views. 986
    sides, the suspicious lesions, if are there, are visible and can be It utilizes radiomics features and location-based features to 100997
    detected on either or both the views [7]. Medical practitioners improve film-based single view performance of cancer 10198
    usually analyze ipsilateral views to describe the breast detection. 10299
    composition, morphological descriptors such as bilateral It combines single view features and two view correspon- 1043
    asymmetry, abnormal lesions, architectural distortion, micro- dence score to improve the case-based two views perfor- 1051
    calcifications, etc. Then they make their clinical decisions mance of cancer diagnosis. 1062
    regarding grading the abnormality or performing further
    diagnostic tests. The mammogram interpretation may go The remaining part of this article is structured as follows. 1084
    wrong or inaccurate due to fatigue or more workload [8]. The Section 2 gives an overview of existing CAD approaches using 1095
    CAD system using ipsilateral views can be a second pair of eyes ipsilateral views. Section 3 covers the clinical data used and 110
    to diagnose the breast anomalies and improve the positive the methodology is explained in Section 4. The experimental 111
    predictions while reducing false predictions during diagnosis results are analyzed in Section 5. The discussion on the various 112
    key issues is presented in Section 6. Section 7 concludes the