An image processing software applied to oral pathology

被引:4
|
作者
Ferreira, Alexandre A. [2 ]
Krause, Cristina I.
Costa, Marcio H. [3 ]
Rivero, Elena R. C. [1 ]
Tarquinio, Sandra B. C. [4 ]
机构
[1] Univ Fed Santa Catarina, Dept Pathol, Florianopolis, SC, Brazil
[2] Acust Amplivox, Pelotas, Brazil
[3] Univ Fed Santa Catarina, Dept Elect Engn, Florianopolis, SC, Brazil
[4] Univ Fed Pelotas, Dept Oral Pathol, Pelotas, RS, Brazil
关键词
Image processing; Computer-assisted; Cell proliferation; Ameloblastoma; AgNOR; PROTEINS; AGNORS; CELLS; LEVEL;
D O I
10.1016/j.prp.2011.02.002
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
This study presents the development and evaluation of an image processing software for computer-assisted cellular structure counting. The proposed software consists of a set of processing and analytical tools which allows its use in several applications of cell and cellular structure counting. A particular application in AgNOR quantitative analysis is presented. The knowledge obtained from experienced pathologists has been codified in a sequence of processing steps in order to allow automatic estimation of the mean number of AgNORs per cell in ameloblastomas. The performance of the presented software in such application was verified by comparing the data provided by visual analysis, by two observers previously calibrated and under supervision of two experienced specialists (Group 1) and by the computer program (Group 2). No statistical difference was observed (p < 0.05) between the two groups. The use of the proposed method in AgNOR applications permitted attainment of accurate and precise data without the difficulties frequently found in the traditional visual analysis method (time. training and subjectivity). The developed software is an interesting tool as an aid in the study (estimation of the number of cells and cellular structures) of malignant and benign neoplasms. (C) 2011 Elsevier GmbH. All rights reserved.
引用
收藏
页码:232 / 235
页数:4
相关论文
共 50 条
  • [31] A Crystal/Clear Pipeline for Applied Image Processing
    Watkins, Christopher J.
    Rosa, Nicholas
    Carroll, Thomas
    Ratcliffe, David
    Ristic, Marko
    Russell, Christopher
    Li, Rongxin
    Fazio, Vincent
    Newman, Janet
    SUPERCOMPUTING FRONTIERS, SCFA 2019, 2019, 11416 : 19 - 37
  • [32] Bessel Filters applied in Biomedical Image Processing
    Mesa Lopez, Juan Pablo
    Castaneda Saldarriaga, Diego Leon
    SENSING TECHNOLOGIES FOR GLOBAL HEALTH, MILITARY MEDICINE, AND ENVIRONMENTAL MONITORING IV, 2014, 9112
  • [33] Smart vision system for applied image processing
    Gokstorp, M
    NEW IMAGE PROCESSING TECHNIQUES AND APPLICATIONS: ALGORITHMS, METHODS, AND COMPONENTS II, 1997, 3101 : 276 - 282
  • [34] An Improved Optimization Algorithm Applied in Image Processing
    Zhang, Ping
    Thomson, John Douglas
    Zhang, Yining
    PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 1267 - 1271
  • [35] Image processing applied to brick quality control
    Schmitt, KM
    Riddington, JR
    Young, RCD
    Budgett, DM
    Chatwin, CR
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2000, 16 (06): : 434 - 440
  • [36] An Improved Optimization Algorithm Applied in Image Processing
    Zhang, Ping
    Wang, Hongyu
    Zhang, Yining
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 2218 - 2221
  • [37] fitsh- a software package for image processing
    Pal, Andras
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2012, 421 (03) : 1825 - 1837
  • [38] Product review: Lucis image processing software
    Johnson, JE
    MICROSCOPY RESEARCH AND TECHNIQUE, 1999, 45 (01) : 59 - 61
  • [39] SOFTWARE FOR IMAGE-PROCESSING ON PERSONAL COMPUTERS
    PAUK, VN
    MAKULOV, VB
    OPTICAL ENGINEERING, 1992, 31 (04) : 782 - 788
  • [40] Product review: Lucis image processing software
    Image Content Technology LLC, 185 Main Street, New Britain, CT 06051, United States
    Microsc. Res. Tech., 1 (59-61):