摘要
乳腺癌组织病理学图像识别对于乳腺癌诊断、治疗和预后具有十分重大的意义,随着计算机和图像识别等相关领域的技术的不断发展,针对医学图像识别的算法和研究也层出不穷。本文将针对医学图像中包括但不限于乳腺癌细胞图像识别的相关算法进行了回顾性总结,针对细胞图像的分割、特征提取和选择以及细胞识别等方面,做出了相关讨论,并对乳腺癌病理图像识别方法进行了总结和展望。
Breast cancer histopathological image recognition is of great significance for the diagnosis,treatment and prognosis of breast cancer.With the continuous development of technologies in related fields such as computer and image recognition,algorithms and researches for medi⁃cal image recognition are also emerging.This article will retrospectively summarize the relevant algorithms for breast cancer cell image rec⁃ognition in medical images,and discuss the segmentation,feature extraction and selection,and cell recognition of cell images,and discuss breast cancer.The pathological image recognition methods are summarized and prospected.
作者
黎丹雨
LI Danyu(School of Information Science,Xinhua College,Sun Yat-sen University,Guangzhou 510000)
出处
《现代计算机》
2021年第18期96-102,共7页
Modern Computer
基金
深度学习与多特征融合智能推荐方法在多媒体信息平台中的研究与应用(No.2019KYQN12)。
关键词
乳腺癌
图像分割
特征提取
细胞识别
Breast Cancer
Image Segmentation
Feature Extraction
Cell Recognition
