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Progress of Machine Vision in the Detection of Cancer Cells in Histopathology

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机构: [1]Zhengzhou Univ Light Ind, Henan Key Lab Intelligent Mfg Mech Equipment, Zhengzhou 450002, Peoples R China [2]Guangdong HUST Ind Technol Res Inst, Guangdong Prov Key Lab Digital Mfg Equipment, Dongguan 523808, Peoples R China [3]Dongguan Kanghua Hosp, Lab Med, Dongguan 523808, Peoples R China [4]Guangdong Prov Hosp Chinese Med, Guangzhou 510120, Peoples R China [5]Dongguan Univ Technol, Sch Mech Engn, Dongguan 523808, Peoples R China [6]Zhengzhou Coal Min Machinery Grp Co Ltd, Zhengzhou 450016, Peoples R China
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关键词: Cancer Feature extraction Machine vision Image segmentation Wiener filters Object segmentation Image color analysis histopathological images cancer cell detection preprocessing image segmentation feature extraction classification

摘要:
In recent years, with the rapid development of artificial intelligence, machine vision technology has been widely used in various fields. Traditional cancer detection methods are time-consuming, labor-intensive, and highly dependent on the experience of pathologists; therefore, these methods cannot meet the needs of modern medical treatment. Machine vision overcomes the disadvantages of traditional detection methods in cancer detection and can help pathologists improve the detection accuracy. According to the requirements of medical detection, this review summarizes the applications of machine vision in the detection of cancer cells in histopathological images and analyzes the advantages and disadvantages of existing methods in image preprocessing, segmentation, feature extraction and recognition. Finally, research on the detection methods of histopathological cancer cells is reviewed and prospected, and future development trends are predicted to provide guidance for follow-up research.

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出版当年[2021]版:
大类 | 3 区 计算机科学
小类 | 3 区 工程:电子与电气 3 区 电信学 4 区 计算机:信息系统
最新[2025]版:
大类 | 4 区 计算机科学
小类 | 4 区 计算机:信息系统 4 区 工程:电子与电气 4 区 电信学
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出版当年[2020]版:
Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Q2 TELECOMMUNICATIONS
最新[2023]版:
Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Q2 TELECOMMUNICATIONS

影响因子: 最新[2023版] 最新五年平均 出版当年[2020版] 出版当年五年平均 出版前一年[2019版] 出版后一年[2021版]

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第一作者机构: [1]Zhengzhou Univ Light Ind, Henan Key Lab Intelligent Mfg Mech Equipment, Zhengzhou 450002, Peoples R China
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通讯机构: [1]Zhengzhou Univ Light Ind, Henan Key Lab Intelligent Mfg Mech Equipment, Zhengzhou 450002, Peoples R China [2]Guangdong HUST Ind Technol Res Inst, Guangdong Prov Key Lab Digital Mfg Equipment, Dongguan 523808, Peoples R China
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