Abstract
The detection of abnormalities in the breast at an early stage can be so helpful for breast cancer treatment. Currently, mammography is the cheapest and the most efficient technique in terms of identifying the suspicious lesions in the breast. However, the interpretation of this screening remains so hard and could lead to inaccurate detection known as false positive and false negative. Dense breast mammograms particularly are difficult to read because they may contain abnormal structures that are similar to the normal breast tissue. In this paper, we introduce an effective method for the detection of the ambiguous areas in digital mammograms. After noise and artifacts removal from the images using 2D Median filtering and labeling, we isolate the abnormalities using the meta-heuristic algorithm Electromagnetism-like Optimization (EML). The segmentation was carried on the abnormal cases of two different databases Mini-Mias and DDSM. The accuracy detection rate achieves almost 85% for both databases and 91.07% for DDSM alone.
Similar content being viewed by others
References
Abed AM, Abed IA, Majdi HS, Al-Shamani AN, Sopian K (2016) A new optimization approach for shell and tube heat exchangers by using electromagnetism-like algorithm (EM). Heat and Mass Transfer/Waerme- und Stoffuebertragung 52(12):2621–2634
Agrawal P, Vatsa M, Singh R (2014) Saliency based mass detection from screening mammograms. Signal Process 99:29–47
Belhaj Soulami K, Saidi MN, Tamtaoui A (2016) A CAD System for the Detection of Abnormalities in the Mammograms Using the Metaheuristic Algorithm Particle Swarm Optimization (PSO),Advances in Ubiquitous Networking 2 pp 505–517, UNET
Chattaraj A, Das A (2016) Mammographie image segmentation using kernel based FCM clustering approach, 2016 international conference on computer, Electrical & Communication Engineering (ICCECE), Kolkata, pp. 1-6
Cuevas E, Oliva D, Zaldivar D, Perez-Cisneros M, Pajares G (2012) Opposition-based electromagnetism-like for global optimization. International Journal of Innovative Computing, Information and Control 8(12):8181–8198
Cuevas E et al. (2013) White blood cell segmentation by circle detection using electromagnetism-like optimization. computational and mathematical methods in medicine 2013: 395071. PMC Web 28 Dec. 2017
Cui J, Liu Y, Xu Y, Zhao H, Zha H (2013) Tracking generic human motion via fusion of low- and high-dimensional approaches. IEEE Transactions on Systems, Man, and Cybernetics: Systems 43(4):996–1002
Dheeba J, Albert Singh N, Tamil Selvi S (2014) Computer-aided detection of breast cancer on mammograms: a swarm intelligence optimized wavelet neural network approach. J Biomed Inform 49:45–52
Farahnakian M, Razfar MR, Biglari FR (2014) Multi-constrained optimization in ultrasonic-assisted turning of hardened steel by electromagnetism-like algorithm. J Eng Manuf 229(11):1933–1944
Geng Y, Liang RZ, Li W, Wang J, Liang G, Xu C, Wang JY (2016) Learning convolutional neural network to maximize Pos@ Top performance measure arXiv preprint arXiv:1609.08417
Jhang J-Y, Lee K-C (2009) Array pattern optimization using electromagnetism-like algorithm. AEU Int J Electron Commun 63:491–496
Jiang J, Yao B, Wason AM (2007) A genetic algorithm design for microcalcification detection and classification in digital mammograms. Comput Med Imaging Graph 31(1):49–61
Li Q, Zhou X, Gu A, Li Z, Liang RZ (2016) Nuclear norm regularized convolutional max Pos@top machine. Neural Computing and Applications, pages 110
Liang RZ, Shi L, Wang H, Meng J, Wang JJY, Sun Q, Gu Y (2016) Optimizing top precision performance measure of content based image retrieval by learning similarity function. Pattern recognition (ICPR), 2016 23st international conference on
Liang RZ, Xie W, Li W, Wang H, Wang JJY, Taylor L (2016) A novel transfer learning method based on common space mapping and weighted domain matching, tools with artificial intelligence (ICTAI), 2016 I.E. 28th international conference on
Lin J-L, Chien-Hao W, Chung H-Y (2012) Performance comparison of electromagnetism-like algorithms for global optimization. Appl Math 3:1265–1275
Liu Y, Cui J, Zhao H, Zha H (2012) Fusion of low-and high-dimensional approaches by trackers sampling for generic human motion tracking, Proceedings of the 21st International Conference on Pattern Recognition (ICPR 2012), Tsukuba, 898–901
Liu Y, Nie L, Han L, Zhang L, Rosenblum DS (2015) Action2Activity: Recognizing Complex Activities from Sensor Data, IJCAI
Liu Y, Nie L, Liu L, Rosenblum DS (2016) From action to activity: Sensor-based activity recognition. In Neurocomputing 181:108–115
Liu Li, Cheng Li, Liu Y, Jia Y, Rosenblum DS (2016) Recognizing complex activities by a probabilistic interval-based model, proceedings of the thirtieth AAAI conference on Artif Intell
Liu Y, Zhang L, Nie L, Yan Y, Rosenblum DS (2016) Fortune teller: predicting your career path, proceedings of the thirtieth AAAI conference on Artif Intell
Liu Y, Zheng Y, Liang Y, Liu S, Rosenblum DS (2016) Urban Water Quality Prediction Based on Multi-task Multi-view Learning. Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-2016)
Makandar A, Halalli B (2015) combined segmentation technique for suspicious mass detection in mammography, 2015 international conference on trends in automation, communications and computing technology (I-TACT-15), Bangalore, pp. 1–5
Miyajima H, Shigei N, Miyajima H (2015) performance comparison of hybrid electromagnetism-like mechanism algorithms with descent method. JAISCR 5(4):271
Neto OPS, Silva AC, Paiva AC, Gattass M (2017) Automatic mass detection in mammography images using particle swarm optimization and functional diversity indexes. Multimedia Tools and Applications 76(18):19263–19289
Pereira DC, Ramos RP, do Nascimento MZ (2014) Segmentation and detection of breast cancer in mammograms combining wavelet analysis and genetic algorithm. Comput Methods Prog Biomed 114(1):88–101
Rocha AMAC, Fernandes EMGP (2007) a new electromagnetism-like algorithm with a population shrinking strategy, 6th WSEAS international conference on System Science and Simulation in Engineering, Venice, Italy, November 21–23
Rocha AMAC, Fernandes EMGP (2009) Modified movement force vector in an electromagnetism-like mechanism for global optimization. Optimization Methods and Software 24(2):253–270
Shang Y, Chen J, Wang Q (2010) improved electromagnetism-like mechanism algorithm for constrained optimization problem, 2010 international conference on computational intelligence and security, Nanning, pp. 165–169
Shrivastava A, Chaudhary A, Kulshreshtha D, Prakash Singh V, Srivastava R (2017) Automated digital mammogram segmentation using dispersed region growing and sliding window algorithm, 2017 2nd International Conference on Image, Vision and Computing (ICIVC), Chengdu, 366–370
Soulami KB, Saidi MN, Tamtaoui A (2017) a CAD system for the detection and classification of abnormalities in dense mammograms using electromagnetism-like optimization algorithm, 3rd IEEE international conference on advanced Technologies for Signal and Image Processing, ATSIP’2017, Fez, Morocco
Suckling J et al (1994) The mammographic image analysis society digital mammogram database. Exerpta Medica 1069:375–378
Tai SC, Chen ZS, Tsai WT (2014) An automatic mass detection system in mammograms based on complex texture features. in IEEE Journal of Biomedical and Health Informatics 18(2):618–627
Tan M, Zheng B (2016) Development of a new case based computer-aided detection scheme for screening mammography, 2016 I.E. EMBS Conference on Biomedical Engineering and Sciences (IECBES), Kuala Lumpur, 24–29
Tan M, Qian W, Pu J, Liu H, Zheng B (2015) A new approach to develop computer-aided detection schemes of digital mammograms. Phys Med Biol 60(11):4413–4427
Tivatansakul S, Uchimura K (2016) Breast mass detection from mammography using iteration of gray-level co-occurrence matrix, 2016 I.E. 18th International Conference on e-Health Networking, Applications and Services (Healthcom), Munich, pp. 1-6
Vikhe PS, Thool VR (2016) Mass detection in mammographic images using wavelet processing and adaptive threshold technique. Med Syst 40:82
Zhang C, Li X, Gao L, Wu Q (2013) An improved electromagnetism-like mechanism algorithm for constrained optimization. Expert Syst Appl 40(14):5621–5634
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Soulami, K.B., Saidi, M.N., Honnit, B. et al. Detection of breast abnormalities in digital mammograms using the electromagnetism-like algorithm. Multimed Tools Appl 78, 12835–12863 (2019). https://doi.org/10.1007/s11042-018-5934-4
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11042-018-5934-4