An intelligent system for cytological and histological image analysis

机译：用于细胞学和组织学图像分析的智能系统

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We propose an intelligent system for processing histological and cytological images for diagnosing breast cancers. The main components of this system are based on a fuzzy-knowledge base and databases. The fuzzy-knowledge base contains rules for diagnosis, obtained from expert facts. The databases contain images and their quantitative characteristics. The software is implemented as ImageJ plugin.

机译：我们提出了一种用于处理组织学和细胞学图像以诊断乳腺癌的智能系统。该系统的主要组件基于模糊知识基础和数据库。模糊知识库包含从专家事实中获得的诊断规则。数据库包含图像及其定量特征。该软件以ImageJ插件的形式实现。

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《International Conference on the Experience of Designing and Application of CAD Systems in Microelectronics》||28-31|共4页
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Berezsky Oleh; Melnyk Grygoriy; Datsko Tamara; Verbovy Sergiy;
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cancer; fuzzy set theory; knowledge based systems; medical image processing; ImageJ plugin; breast cancer diagnosis; cytological image processing; fuzzy-knowledge base; histological image processing; intelligent system; quantitative characteristics; Biomedical imaging; Breast; Databases; Diseases; Intelligent systems; Microscopy; Software; cytological image; histological; intelligent system;

机译：癌症;模糊集理论;基于知识的系统;医学图像处理; ImageJ插件;乳腺癌诊断;细胞学图像处理;模糊知识基础;组织学图像处理;智能系统;定量特征;生物医学成像;乳腺癌;数据库;疾病;智能化系统;显微镜;软件;细胞学图像;组织学;智能系统;

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专利

1. On the Possibility of Determination of Stereological Characteristics of Interactions of Biological Micro Objects with Nanoparticles Based on Analysis of 2-Dimensional Images of Cytological and Histological Specimens [J] . A. V. Zhukotsky, V. I. Baranov, A. V. Karnaukhov, Biophysics . 2013,第5期

机译：基于细胞学和组织学标本的二维图像分析，确定生物微物体与纳米粒子相互作用的立体学特征的可能性
2. Introduction of histological classification and cytology reporting format of the Japanese General Rules for the Description of Thyroid Cancer with a special focus on the differences of the WHO Histological Classification and The Bethesda System of Thyroid Cytology [J] . Atsuhiko Sakamoto, Mitsuyoshi Hirokawa, Masahiro Ito, Endocrine journal . 2021,第6期

机译：介绍甲状腺癌描述的日本一般规则的组织学分类和细胞学报告格式，特别关注了世卫组织组织学分类和甲状腺细胞学贝塞斯达体系的差异
3. Intelligent CAD System for Automatic Detection of Mitotic Cells from Breast Cancer Histology Slide Images Based on Teaching-Learning-Based Optimization [J] . RaminNateghi, HabibollahDanyali, MohammadSadegh Helfroush, Computational Biology Journal . 2014,第1期

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4. Quantitative analysis of histological tissue image based on cytological profiles and spatial statistics [C] . Young Hwan Chang, Guillaume Thibault, Vahid Azimi, Annual International Conference of the IEEE Engineering in Medicine and Biology Society . 2016

机译：基于细胞学特征和空间统计的组织学图像定量分析
5. The Development and Evaluation of a Pseudo-Histological Staining and Image Processing System for Use in Point-of-Care ex vivo Fluorescence Histology [D] . Elfer, Katherine Nicole. 2018

机译：用于伪组织学染色和图像处理系统的开发与评价，用于治疗点荧光组织学
6. Galectin-3 Performance in Histologic and Cytologic Assessment of Thyroid Nodules: A Systematic Review and Meta-Analysis [O] . Pierpaolo Trimboli, Camilla Virili, Francesco Romanelli, 2017

机译：Galectin-3在甲状腺结节的组织学和细胞学评估中的性能：系统评价和荟萃分析
7. Improvement of microcomputer system for image analysis instrument with CCD and its accuracy in quantitative cytology and histology. [O] . Naoki YOSHIMI, Masayoshi TAKAHASHI 1987

机译：CCD图像分析仪器微型计算机系统的改进及其定量细胞学和组织学中的准确性。

An intelligent system for cytological and histological image analysis

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