Progress of Machine Vision in the Detection of Cancer Cells in Histopathology
Wenbin He, Yongjie Han, Wuyi Ming, Jinguang Du, Yinxia Liu, Yuan Hui Yang, Leijie Wang, Yongqiang Wang, Zhiwen Jiang, Chen Cao, Jie Yuan · IEEE Access · 2022
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.