Image analysis software for the detection of preneoplastic and early neoplastic lesions

Jules J. Berman, G. William Moore

    Research output: Contribution to journalArticle

    Abstract

    Preneoplastic lesions are usually small, and often appear as foci of atypical cells that blend into the surrounding normal tissue without producing a detectable tumor mass. Since these lesions seldom provide adequate tissue for biochemical studies, their detection often depends upon subtle distinctions in cytologic features. Image analysis permits pathologists to obtain quantitative measurements on cytologic and histologic preparations, so that visual impressions can be augmented by quantitative morphometry. Preneoplastic lesions have well-described morphometric features relating to nuclear area, texture, or shape. It is now feasible for every pathology department to capture images of pathologic material with equipment costing less than the price of a microscope. Captured image files can be analyzed using commercial software or software developed in several U.S. government agencies and made freely available to the public. Image analysis has been shown to improve the detection of preneoplastic cells. Recent improvements in the resolution of captured images, in the algorithms that measure preneoplastic descriptors, and in the ease and speed of transmission of images between laboratories, should increase our ability to detect and treat preneoplastic lesions.

    Original languageEnglish (US)
    Pages (from-to)103-109
    Number of pages7
    JournalCancer Letters
    Volume77
    Issue number2-3
    DOIs
    StatePublished - Mar 15 1994

    Fingerprint

    Software
    Government Agencies
    Pathology
    Equipment and Supplies
    Neoplasms
    Pathologists

    Keywords

    • Early detection
    • Image analysis
    • Image processing
    • Preneoplasia
    • Software

    ASJC Scopus subject areas

    • Cancer Research
    • Molecular Biology
    • Oncology

    Cite this

    Image analysis software for the detection of preneoplastic and early neoplastic lesions. / Berman, Jules J.; Moore, G. William.

    In: Cancer Letters, Vol. 77, No. 2-3, 15.03.1994, p. 103-109.

    Research output: Contribution to journalArticle

    Berman, Jules J. ; Moore, G. William. / Image analysis software for the detection of preneoplastic and early neoplastic lesions. In: Cancer Letters. 1994 ; Vol. 77, No. 2-3. pp. 103-109.
    @article{59c172579d144d9fa35afab5df582923,
    title = "Image analysis software for the detection of preneoplastic and early neoplastic lesions",
    abstract = "Preneoplastic lesions are usually small, and often appear as foci of atypical cells that blend into the surrounding normal tissue without producing a detectable tumor mass. Since these lesions seldom provide adequate tissue for biochemical studies, their detection often depends upon subtle distinctions in cytologic features. Image analysis permits pathologists to obtain quantitative measurements on cytologic and histologic preparations, so that visual impressions can be augmented by quantitative morphometry. Preneoplastic lesions have well-described morphometric features relating to nuclear area, texture, or shape. It is now feasible for every pathology department to capture images of pathologic material with equipment costing less than the price of a microscope. Captured image files can be analyzed using commercial software or software developed in several U.S. government agencies and made freely available to the public. Image analysis has been shown to improve the detection of preneoplastic cells. Recent improvements in the resolution of captured images, in the algorithms that measure preneoplastic descriptors, and in the ease and speed of transmission of images between laboratories, should increase our ability to detect and treat preneoplastic lesions.",
    keywords = "Early detection, Image analysis, Image processing, Preneoplasia, Software",
    author = "Berman, {Jules J.} and Moore, {G. William}",
    year = "1994",
    month = "3",
    day = "15",
    doi = "10.1016/0304-3835(94)90092-2",
    language = "English (US)",
    volume = "77",
    pages = "103--109",
    journal = "Cancer Letters",
    issn = "0304-3835",
    publisher = "Elsevier Ireland Ltd",
    number = "2-3",

    }

    TY - JOUR

    T1 - Image analysis software for the detection of preneoplastic and early neoplastic lesions

    AU - Berman, Jules J.

    AU - Moore, G. William

    PY - 1994/3/15

    Y1 - 1994/3/15

    N2 - Preneoplastic lesions are usually small, and often appear as foci of atypical cells that blend into the surrounding normal tissue without producing a detectable tumor mass. Since these lesions seldom provide adequate tissue for biochemical studies, their detection often depends upon subtle distinctions in cytologic features. Image analysis permits pathologists to obtain quantitative measurements on cytologic and histologic preparations, so that visual impressions can be augmented by quantitative morphometry. Preneoplastic lesions have well-described morphometric features relating to nuclear area, texture, or shape. It is now feasible for every pathology department to capture images of pathologic material with equipment costing less than the price of a microscope. Captured image files can be analyzed using commercial software or software developed in several U.S. government agencies and made freely available to the public. Image analysis has been shown to improve the detection of preneoplastic cells. Recent improvements in the resolution of captured images, in the algorithms that measure preneoplastic descriptors, and in the ease and speed of transmission of images between laboratories, should increase our ability to detect and treat preneoplastic lesions.

    AB - Preneoplastic lesions are usually small, and often appear as foci of atypical cells that blend into the surrounding normal tissue without producing a detectable tumor mass. Since these lesions seldom provide adequate tissue for biochemical studies, their detection often depends upon subtle distinctions in cytologic features. Image analysis permits pathologists to obtain quantitative measurements on cytologic and histologic preparations, so that visual impressions can be augmented by quantitative morphometry. Preneoplastic lesions have well-described morphometric features relating to nuclear area, texture, or shape. It is now feasible for every pathology department to capture images of pathologic material with equipment costing less than the price of a microscope. Captured image files can be analyzed using commercial software or software developed in several U.S. government agencies and made freely available to the public. Image analysis has been shown to improve the detection of preneoplastic cells. Recent improvements in the resolution of captured images, in the algorithms that measure preneoplastic descriptors, and in the ease and speed of transmission of images between laboratories, should increase our ability to detect and treat preneoplastic lesions.

    KW - Early detection

    KW - Image analysis

    KW - Image processing

    KW - Preneoplasia

    KW - Software

    UR - http://www.scopus.com/inward/record.url?scp=0028218786&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=0028218786&partnerID=8YFLogxK

    U2 - 10.1016/0304-3835(94)90092-2

    DO - 10.1016/0304-3835(94)90092-2

    M3 - Article

    C2 - 8168056

    AN - SCOPUS:0028218786

    VL - 77

    SP - 103

    EP - 109

    JO - Cancer Letters

    JF - Cancer Letters

    SN - 0304-3835

    IS - 2-3

    ER -