• 제목/요약/키워드: Colon Classification

검색결과 44건 처리시간 0.031초

Colon분류법7판(1987)에 대한 비평적소개

  • 남태우
    • 도서관문화
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    • 제32권3호통권268호
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    • pp.23-29
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    • 1991
  • 본고는 Cataloging & Classification Quartery(Vol. 12 No. 2 1990 : ISSN:0163-9374)에 수록된 M.P. Satija의 ‘A Critical Introduction to the 7th Edition (1987) of the Colon Classification'을 번역한 것이다. 이 Colon 분류법 제7판은 국내에는 아직 소개되지 않은 것으로 보이는데, 논제에서 보는 바와 같이 이 글은 비평적인 소개로서 Colon 분류법 제7판을 이해하는데 많은 도움이 될 것이다.

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Classification of Midinfrared Spectra of Colon Cancer Tissue Using a Convolutional Neural Network

  • Kim, In Gyoung;Lee, Changho;Kim, Hyeon Sik;Lim, Sung Chul;Ahn, Jae Sung
    • Current Optics and Photonics
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    • 제6권1호
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    • pp.92-103
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    • 2022
  • The development of midinfrared (mid-IR) quantum cascade lasers (QCLs) has enabled rapid high-contrast measurement of the mid-IR spectra of biological tissues. Several studies have compared the differences between the mid-IR spectra of colon cancer and noncancerous colon tissues. Most mid-IR spectrum classification studies have been proposed as machine-learning-based algorithms, but this results in deviations depending on the initial data and threshold values. We aim to develop a process for classifying colon cancer and noncancerous colon tissues through a deep-learning-based convolutional-neural-network (CNN) model. First, we image the midinfrared spectrum for the CNN model, an image-based deep-learning (DL) algorithm. Then, it is trained with the CNN algorithm and the classification ratio is evaluated using the test data. When the tissue microarray (TMA) and routine pathological slide are tested, the ML-based support-vector-machine (SVM) model produces biased results, whereas we confirm that the CNN model classifies colon cancer and noncancerous colon tissues. These results demonstrate that the CNN model using midinfrared-spectrum images is effective at classifying colon cancer tissue and noncancerous colon tissue, and not only submillimeter-sized TMA but also routine colon cancer tissue samples a few tens of millimeters in size.

열거식 계층분류체계에 분석합성식 기법의 도입에 관한 연구-KDC를 중심으로

  • 도태현
    • 한국도서관정보학회지
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    • 제29권
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    • pp.241-272
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    • 1998
  • The purpose of this paper is to examine the analytic-assembling(faceted analysis) methods applied in enumerative-hierarchical classification schemes. (mainly in KDC) The methods are summarized as follows : 1. For the enumerative-hierarchical classification schemes, in principle the subjects are divided into subdivisions by only one facet at the same level, and step by step. However some subjects, for example 'library and information science' 'education' and others in KDC, are divided into subdivisions by multiple facets at same level like Colon Classification. 2. Most of enumerative-hierarchical classification schemes have various kinds of auxiliary tables, such as standard subdivisions, areas, periods, and languages. Each of them is considered as foci by a facet applied to subdivide all kinds of subjects or some special subjects into lower level. 3. To classify the compound subjects with phase relation, KDC provides ready-made classification numbers or notes that says 'divide by 001-999'(whole subjects) of 'divide by xxx-xxx'(limited scope of subjects). The ready-made compound subjects, or subdividing by whole or limited scope of subjects are similar to representation of phase relation in Colon Classification. Yet these analytic-assembling methods in KDC are needed to be supplemented and amended. Subdividing methods for faceted analysis have to be unified through the whole schedule. The auxiliary tables should be enlarged and subdivided more specifically. And for representation of phase relation, the linking signs can be useful in KDC as well as UDC and other analytic-assembling classification schemes like Colon Classification.

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Implications of Five Laws of Library Science on Dr. S. R. Ranganathan's Colon Classification: An Explorative Study

  • Kumar, S.K. Asok;Babu, B. Ramesh;Rao, P. Nageswara
    • 한국문헌정보학회지
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    • 제45권4호
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    • pp.309-326
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    • 2011
  • There have been several milestones in the history of library classification but most of the schemes failed to meet the new challenges in the organisation of information. Dr. S. R. Ranganathan tried to revolutionise the whole thinking on classificatory approach, when he devised the Colon Classification (CC) in 1933. He developed the Colon Classification scheme with a sound theoretical background based on normative principles, Five laws of Library science, canons, etc. One important feature of CC is that, its use is not confined to information storage and retrieval alone. This paper presents an over view of different editions of the CC highlighting the salient features of the editions. Further the implication of Five Laws of Library Science has been described. The authors stressed that the features of such as greater hospitality, specificity and mixed notation has paved the way to design and develop the depth schedules on various micro level subjects and so far about 130 micro schedules have been published. The impressions by the leading LIS professionals during and after Ranganathan's time have been highlighted. The authors expressed the fear that when the library world would see the complete version of the seventh edition of CC? It may be due to lack of institutional support engaging in the research or financial constraints. The authors are of the opinion that any scheme to flourish needs a sound research body to bring out the revised editions as done in the case of Dewey Decimal Classification. The relevance of the CC in the contemporary world of Librarianship is discussed. Finally concludes that CC needs to be resuscitated as it is a precious national heritage; and still a force for the management of libraries.

콜론분류법에 바탕한 자동분류시스템의 개발에 관한 연구 - 농학 및 의학 전문도서관을 사레로 - (Developing an Automatic Classification System Based on Colon Classification: with Special Reference to the Books housed in Medical and Agricultural Libraries)

  • 이경호
    • 한국문헌정보학회지
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    • 제23권
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    • pp.207-261
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    • 1992
  • The purpose of this study is (1) to design and test a database which can be automatically classified, and (2) to generate automatic classification number by processing the keywords in titles using the code combination method of Colon Classification(CC) as well as an automatic recognition of subjects in order to develop an automatic classification system (Auto BC System) based on CC which can be applied to any research library. To conduct this study, 1,510 words in the fields of agricultrue and medicine were selected, analized in terms of [P], [M], [E], [S], [T] employed in CC, and included in a database for classification. For the above-mentioned subject fields, the principle of an automatic classification was specified in order to generate automatic classification codes as well as to perform an automatic subject recognition of the titles included. Whenever necessary, editing, deleting, appending and reindexing of a database can be made in this automatic classification system. Appendix 1 shows the result of the automatic classification of books in the fields of agriculture and medicine. The results of the study are summarized below. 1. The classification number for the title of a book can be automatically generated by using the facet principles of Colon Classification. 2. The automatic subject recognition of a book is achieved by designing a database making use of a globe-principle, and by specifying the subject field for each word. 3. The automatic subject-recognition of input data is achieved by measuring the number of searched words by each subject field. 4. The combination of classification numbers is achieved by flowcharting of classification formular of each subject field. 5. The efficient control of classification numbers is achieved by designing control codes on the database for classification. 6. The automatic classification by means of Auto BC has been proved to be successful in the research library concentrating on a Single field. The general library may have some problem in employing this system. The automatic classification through Auto BC has the following advantages: 1. Speed of the classification process can be improve. 2. The revision or updating of classification schemes can be facilitated. 3. Multiple concepts can be expressed in a single classification code. 4. The consistency of classification can be achieved with the classification formular rather than the classifier's subjective judgement. 5. A user's retrieving process can be made after combining the classification numbers through keywords relating to the material to be searched. 6. The materials can be classified by a librarian without subject backgrounds. 7. The large body of materials can be quickly classified by means of a machine processing. 8. This automatic classification is expected to make a good contribution to design of the total system for library operations. 9. The information flow among libraries can be promoted owing to the use of the same program for the automatic classification.

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Classification of Colon Cancer Patients Based on the Methylation Patterns of Promoters

  • Choi, Wonyoung;Lee, Jungwoo;Lee, Jin-Young;Lee, Sun-Min;Kim, Da-Won;Kim, Young-Joon
    • Genomics & Informatics
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    • 제14권2호
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    • pp.46-52
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    • 2016
  • Diverse somatic mutations have been reported to serve as cancer drivers. Recently, it has also been reported that epigenetic regulation is closely related to cancer development. However, the effect of epigenetic changes on cancer is still elusive. In this study, we analyzed DNA methylation data on colon cancer taken from The Caner Genome Atlas. We found that several promoters were significantly hypermethylated in colon cancer patients. Through clustering analysis of differentially methylated DNA regions, we were able to define subgroups of patients and observed clinical features associated with each subgroup. In addition, we analyzed the functional ontology of aberrantly methylated genes and identified the G-protein-coupled receptor signaling pathway as one of the major pathways affected epigenetically. In conclusion, our analysis shows the possibility of characterizing the clinical features of colon cancer subgroups based on DNA methylation patterns and provides lists of important genes and pathways possibly involved in colon cancer development.

Mapping of the Universe of Knowledge in Different Classification Schemes

  • Satija, M.P.;Martinez-Avila, Daniel
    • International Journal of Knowledge Content Development & Technology
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    • 제7권2호
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    • pp.85-105
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    • 2017
  • Given the variety of approaches to mapping the universe of knowledge that have been presented and discussed in the literature, the purpose of this paper is to systematize their main principles and their applications in the major general modern library classification schemes. We conducted an analysis of the literature on classification and the main classification systems, namely Dewey/Universal Decimal Classification, Cutter's Expansive Classification, Subject Classification of J.D. Brown, Colon Classification, Library of Congress Classification, Bibliographic Classification, Rider's International Classification, Bibliothecal Bibliographic Klassification (BBK), and Broad System of Ordering (BSO). We conclude that the arrangement of the main classes can be done following four principles that are not mutually exclusive: ideological principle, social purpose principle, scientific order, and division by discipline. The paper provides examples and analysis of each system. We also conclude that as knowledge is ever-changing, classifications also change and present a different structure of knowledge depending upon the society and time of their design.

식물학문헌을 위한 자동분류시스템의 개발 (Developing an Automatic Classification System for Botanical Literatures)

  • 김정현;이경호
    • 한국도서관정보학회지
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    • 제32권4호
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    • pp.99-117
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    • 2001
  • 본 연구는 분류자동화를 위해 이미 연구된 바 있는 농학 및 의학분야의 AutoBC 시스템에 대한 계속적인 연구의 일환으로 식물학분야의 문헌에 대해 분류자동화가 가능한지의 여부를 CC의 원리를 응용하여 실험 및 검증한 것이다. 분류자동화를 위한 데이터베이스는 원통형과 행렬식의 원리에 의해 설계되었으며, 문헌의 표제나 키워드를 입력하여 자동적인 주제인지 및 분류기호가 생성될 수 있는 윈도우용 자동분류시스템을 새로이 개발하여 실험하였다.

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Feasibility of Computed Tomography Colonography as a Diagnostic Procedure in Colon Cancer Screening in India

  • Manjunath, Kanabagatte Nanjundappa;Gopalakrishna, Prabhu Karkala;Siddalingaswamy, Puttappa Chandrappa
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권13호
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    • pp.5111-5116
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    • 2014
  • Computed Tomography Colonography (CTC) is a medical imaging technology used in identifying polyps and colon cancer masses in the large intestine. The technique has evolved a great deal since its invention and has become a routine diagnostic procedure in Western countries due to its non invasiveness and ease of use. The objective of our study was to explore the possibility of CTC application in Indian hospitals. This paper gives an overview of the procedure and its commercial viability. The explanation begins with the domain aspects from gastroenterologist perspective, the new way of thinking in polyp classification, the technical components of CTC procedure, and how engineering solutions have helped clinicians in solving the complexities involved in colon diagnosis. The colon cancer statistics in India and the results of single institution study we carried out with retrospective data is explained. By considering the increasing number of patients developing colon malignancies, the practicality of CTC in Indian hospitals is discussed. This paper does not reveal any technical aspects (algorithms) of engineering solutions implemented in CTC.

문화분류와 문화콘텐츠산업분류에 관한 연구 (A Study of A Cultural Classification and A Culture Contents Industrial Classification)

  • 안인자
    • 한국비블리아학회지
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    • 제17권2호
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    • pp.5-22
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    • 2006
  • 문화분류와 문화콘텐츠산업분류는 관련 정책, 지원, 통계, 평가를 위한 필수적인 기본도구이며, 이과정은 순환되는 것을 알 수 있다. 이의 용례를 법, 문화지표, 통계, 평가항목, 관련 연구보고서 분석하여 살펴본 결과 단기적 목적에 따라 아주 다양하게 분류되는 것을 발견하였다. 본 논문에서는 콜론분류방법에 기초한 분류안을 제시하였으며, 분류요소로서 통신망, 매체, 장르, 문화영역구분을 사용하였다.