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Good ideas occur always in pairs ?

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  • Good ideas occur always in pairs ?

    Dear Biomch-L readers,

    One of our subscribers suggested this morning to set up a biomechanics
    bibliographic database under the facilities of LISTSERV using the TeX/
    LaTeX BibTeX format. Ton and I are currently thinking about this,
    especially since the proposer offered to actively help in getting such
    a facility started, have done so already in his/her own institution.

    Interestingly, one such a BibTeX item was received today from the MEDINF-L
    list (the first one ever received from that list), so it would appear again
    that new ideas may occur more-or-less simultaneously in science. Since
    TeX/LaTeX and BibTeX are widely available (for free or for a very modest
    price, with many campuses having a campus-wide licence), this particular
    format might be quite useful. Being in plain ASCII/EBCDIC, it can be
    retrieved without problems via gateways with other networks.

    While the original idea was to think a bit more in private on setting up
    a biomechanics/movement science database facility, I thought that this
    MEDINF-L posting might, perhaps, be interpreted as a providential sign to
    go public without further delay. Therefore, I'd like to sollicit ideas
    and suggestions from the readership on the pros and cons of setting up
    a generally accessible bibliographic database which may help in reducing
    literature reference errors, finding recent literature and the like. For
    example, authors might submit their own references for inclusion into the

    We should realise that there are other sources, in particular, the Science
    Citation Index, Current Contents, and Dissertation Abstracts. However, the
    so-called `grey litterature' (institutional reports, etc.) are difficult to
    come by in these sources.

    In view of the practicalities of the proposed venture, I think that I should
    protect the originator's identity until such time that (s)he elects to go
    public. May I invite the readership to post their ideas for a bibliographic
    database ?

    With kind regards -- Herman J. Woltring, Eindhoven/NL
    oxoxoxoxoxoxoxoxoxoxoxoxoxoxoxoxoxoxoxoxoxoxoxoxox oxoxoxoxoxoxoxoxoxoxoxoxo
    Date: Wed, 20 Mar 91 10:32:00 +0100
    From: Thomas Buck
    Subject: Good reference
    Sender: MEDINF-L

    Dear folks:

    I found one of these days a very, very interesting article about a
    knowledge-based medical image processing and analysis system. Since
    the article mentioned the use of the Frame knowledge representation
    scheme, fuzzy pattern matching of the detected and identified organs
    and classical image processing algorithms, I found it interesting
    to post it for you.

    I wish you enjoy it. The article reference is in the BibTeX format below:

    @ARTICLE{ Dhawan-90,
    AUTHOR={Atam P. Dhawan and Sridhar Juvvadi},
    TITLE={Knowledge-based analysis and understanding of medical images},
    JOURNAL={Computer Methods and Programs in Biomedicine},
    PAGES={221 - 239},
    ABSTRACT={Knowledge-based image analysis and interpretation of
    radiological images is of significant interest for several
    reasons including a means to identify and label each part of the
    image for further automated diagnostic analysis. Also, there is
    a need to develop a knowledge-based biomedical image analysis
    system which can analyze and interpret the anatomical images
    (such as those obtained from X-ray computed tomography (CT)
    scanning) in order to help analysis of functional images (such as
    those obtained from positron emission tomography (PET) scanning)
    of the organ of the same patient. This paper deals with the design
    and implementation of a knowledge-based system to analyze and
    interpret CT anatomical images of the human chest. In the approach
    presented here, the emphasis has been on the development of a
    strong low-level analysis system with the capability of analyzing
    in both bottom-up and top-down modes; and on the use of hierarchical
    relational, spatial and structural knowledge of the human anatomy
    in the process of high-level analysis and recognition.},
    KEYWORDS={knowledge, imaging, medicine, fuzzy}

    P.S.: I will send this message to 3 distribution lists:

    [1] MEDINF-L, because the article is in the medical area;
    [2] NL-KR, because it refers to the application of frames; and
    [3] CYBSYS-L, because the article implements the high-level matching
    with fuzzy techniques.

    That's all. Thomas.

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