COMPUTER-ASSISTED BREAST-CANCER GRADING

被引:3
作者
HEATHFIELD, HA
WINSTANLEY, G
KIRKHAM, N
机构
[1] ITRI, Brighton Polytechnic, Moulescomb, Brighton BN2 4UJ, United Kingdom
来源
JOURNAL OF BIOMEDICAL ENGINEERING | 1988年 / 10卷 / 05期
关键词
Artificial Intelligence--Expert Systems - Computer systems; Digital--Interactive operation - Data processing--Medical information - Image processing--Image analysis - Pattern Recognition--Computer Applications;
D O I
10.1016/0141-5425(88)90139-2
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Morphological tumor differentiation has been shown in numerous studies to give a good prognosis in breast cancer, but as histological grading is based upon a subjective assessment of microscopical appearances, difficulties in consistency and reproducibility are inevitable. A review of the many conventional methods served to highlight a common limitation in their approach; lack of structure. The authors introduce a new approach which seeks to overcome the problem, by formalizing the methods and identifying aspects which are well suited to computer aided analysis, these being incorporated into a microcomputer system facilitating the collection and appraisal of morphometric data. Within the Information Technology Institute (ITRI) at Brighton Polytechnic a research team is carrying out multidisciplinary work into the elucidation of biological systems. This program entitled 'Intelligent Medical Systems', used methods of mathematical signal processing and artificial intelligence, applied to a number of areas, one of which is described in this paper. The aim has been to utilize the inherent skill exercised by the histopathologist in interpreting microscopical images, while making quantitization more accurate and reproducible. The system has been developed within a highly structured framework and will have applications in teaching and routine histological analysis. The value of artificial intelligence techniques in the wider issues of this area is discussed.
引用
收藏
页码:379 / 386
页数:8
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