Research on Detection of Mycobacterium Tuberculosis from Microscopic Sputum Smear Images using Image Segmentation

被引:0
|
作者
Saravanan, D. [1 ]
Bhavya, R. [1 ]
Archanaa, G. I. [1 ]
Karthika, D. [1 ]
Subban, Ravi [2 ]
机构
[1] IFET Coll Engn & Technol, Dept Comp Sci & Engn, Villupuram, India
[2] Pondicherry Univ, Sch Engn & Technol, Dept Comp Sci, Pondicherry, India
关键词
color space; image segmentation; classification models; DIAGNOSIS; ANTIGENS; BACTERIA;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Tuberculosis (TB) is a deadly disease caused by a bacteria called Mycobacterium tuberculosis that can affect lungs mostly. Besides it is a disease that affects not only lungs in the body of a human being but other parts also. There are few diseases that kills the human population. The commonly used tools that can detect TB are: GeneXpert, microscopy, tuberculin bacilli test (TST), chest X-ray, interferon-y release assay (IGRA), and culture test. But the sputum smear microscopy is the mostly used tool. The merits of using this tool are: it is supposed to be easier, faster and cheaper than other methods without requiring much technical expertise and yielding sufficiently fast results. But the problem with this tool is that the screening may fail to detect TB and requires some eye strain with concentration. The automatic screening method will remove this problem. This paper provides research review on TB detection using image processing techniques.
引用
收藏
页码:969 / 974
页数:6
相关论文
共 50 条
  • [41] Improvement of Mycobacterium tuberculosis detection in sputum using DNA extracted by sonication
    Bello, Graziele Lima
    Leite Morais, Franciele Costa
    Wolf, Jonas Michel
    Gehlen, Mirela
    Soares, Taina dos Santos
    Halon, Maria Laura
    Barcellos, Regina Bones
    Rosa Rossetti, Maria Lucia
    BRAZILIAN JOURNAL OF INFECTIOUS DISEASES, 2020, 24 (05): : 398 - 404
  • [42] BRONCHOSCOPY WITH BRONCHIAL LAVAGE VERSUS SPUTUM FOR THE DIAGNOSIS OF SMEAR NEGATIVE MYCOBACTERIUM TUBERCULOSIS
    Byrne, A. L.
    Goldberg, H.
    Mckenzie, D.
    RESPIROLOGY, 2012, 17 : 83 - 83
  • [43] Segmentation, autofocusing and signature extraction of tuberculosis sputum images
    Forero-Vargas, M
    Sroubek, F
    Alvarez-Borrego, J
    Malpica, N
    Cristóbal, G
    Santos, A
    Alcala, L
    Desco, M
    Cohen, L
    PHOTONIC DEVICES AND ALGORITHMS FOR COMPUTING IV, 2002, 4788 : 171 - 182
  • [44] Tuberculosis bacteria analysis in acid fast stained images of sputum smear
    Yashwant Kurmi
    Vijayshri Chaurasia
    Aditya Goel
    Deepti Joshi
    Neelkamal Kapoor
    Signal, Image and Video Processing, 2021, 15 : 175 - 183
  • [45] Clinical profiles and related factors in tuberculosis patients with positive sputum smear mycobacterium tuberculosis tests
    Yu, Shiqing
    Gao, Yan
    Lu, Junzhu
    Zhang, Guojin
    Chen, Xinyue
    Zhang, Rongping
    Kong, Weifang
    Shang, Lan
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [46] Tuberculosis bacteria analysis in acid fast stained images of sputum smear
    Kurmi, Yashwant
    Chaurasia, Vijayshri
    Goel, Aditya
    Joshi, Deepti
    Kapoor, Neelkamal
    SIGNAL IMAGE AND VIDEO PROCESSING, 2021, 15 (01) : 175 - 183
  • [47] Image Enhancement Sputum Containing Mycobacterium Tuberculosis Using A Spatial Domain Filter
    Rachmad, Aeri
    Chamidah, Nur
    Rulaningtyas, Riries
    9TH ANNUAL BASIC SCIENCE INTERNATIONAL CONFERENCE 2019 (BASIC 2019), 2019, 546
  • [48] Microscopic Image Segmentation Based on Firefly Algorithm for Detection of Tuberculosis Bacteria
    Ayas, Selen
    Dogan, Hulya
    Gedikli, Eyup
    Ekinci, Murat
    2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2015, : 851 - 854
  • [49] A COMBINED DETECTION AND DRUG SUSCEPTIBILITY TESTING OF MYCOBACTERIUM-TUBERCULOSIS IN SMEAR POSITIVE SPUTUM SAMPLES USING BIPHASIC VIAL RADIOMETRIC METHOD
    SHAH, DH
    DEVDHAR, MN
    GANATRA, RD
    KALE, RN
    VIRDI, SS
    DESHMUKH, MD
    INDIAN JOURNAL OF MEDICAL RESEARCH, 1986, 83 : 123 - 135
  • [50] Study of Colour Model for Segmenting Mycobacterium Tuberculosis in Sputum Images
    Kurniawardhani, A.
    Kurniawan, R.
    Muhimmah, I.
    Kusumadewi, S.
    INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND DIGITAL APPLICATIONS (ICITDA 2017), 2018, 325