Advances in computer-aided diagnosis based on pathological images(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2022年第3期
- Page:
- 384-389
- Research Field:
- 医学人工智能
- Publishing date:
Info
- Title:
- Advances in computer-aided diagnosis based on pathological images
- Author(s):
- JIANG Furong1; ZHAO Jingwen1; LIU Xiang1; SHI Yunyu1; TANG Xian1; SONG Jialin2
- 1. School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China 2. Department of Ultrasound, Changzheng Hospital Affiliated to the Second Military Medical University, Shanghai 200003, China
- Keywords:
- Keywords: cancer histopathological image computer-aided diagnosis machine learning review
- PACS:
- R318
- DOI:
- DOI:10.3969/j.issn.1005-202X.2022.03.020
- Abstract:
- Abstract: Histopathological diagnosis is the gold standard for all diagnostic modalities of cancer. Due to the subjective decision-making of pathologists, the accuracy of the diagnostic results based on microscopic observation is not high. With the rapid development of computer technology, computer-aided diagnosis for pathological image analysis has become a trend in the field of artificial intelligence. Herein the literatures related to pathological image assisted diagnosis in recent years are reviewed, mainly focusing on the research advances in pathological image sources, phased processing with machine learning, end-to-end fully automatic diagnosis and pathological image retrieval. Finally, an outlook on the development trend of the computer-aided diagnosis based on pathological images is provided.
Last Update: 2022-03-28