Automatic grading of pathological images of thyroid cancer based on deep learning(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2023年第5期
- Page:
- 580-588
- Research Field:
- 医学影像物理
- Publishing date:
Info
- Title:
- Automatic grading of pathological images of thyroid cancer based on deep learning
- Author(s):
- CAO Liling1; JIANG Kehong1; CAO Shouqi1; JIANG Fusong2
- 1. College of Engineering Science and Technology, Shanghai Ocean University, Shanghai 201306, China 2. Department of Endocrinology and Metabolism, Shanghai Sixth Peoples Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200233, China
- Keywords:
- Keywords: deep learning thyroid cancer convolutional neural network whole slide image image grading
- PACS:
- R318；TP391
- DOI:
- DOI:10.3969/j.issn.1005-202X.2023.05.010
- Abstract:
- Abstract: In response to the increasing demand for early diagnosis of thyroid cancer, a deep learning based method is proposed for the automatic grading of the pathological images of thyroid cancer through EfficientNet combined with CA-Net. The experimental results show that the accuracy of CA-EfficientNet model is up to 96.6%, which proves the algorithm superiority in the automatic grading of the pathological images of thyroid cancer. The automatic auxiliary diagnosis system implemented based on the proposed algorithm is applicable in practice for it can effectively reduce the workload of pathologists and reduce the rate of misdiagnosis caused by subjective factors such as fatigue.
Last Update: 2023-05-26