光学相干层析成像
乳腺癌
医学
乳腺摄影术
断层摄影术
乳腺组织
光学层析成像
光学
生物医学工程
材料科学
核医学
放射科
癌症
物理
内科学
作者
Shaify Kansal,Jhilik Bhattacharya,Vishal Srivastava
出处
期刊:Applied Optics
[The Optical Society]
日期:2020-08-31
卷期号:59 (25): 7688-7688
被引量:3
摘要
Intraoperative delineation of breast cancer is a major challenge. An effective breast tissue screening technique may reduce the risk of re-excision during surgery by specifically identifying positive margins. In this study, a high-resolution automated full-field polarization-sensitive optical coherence tomography (FF-PS-OCT) system was developed to classify healthy and malignant human breast tissue from quantitative phase retardation information of the tissues in ex vivo . Twelve breast tissue samples [four healthy, eight malignant (cancerous)] were imaged with the FF-PS-OCT system and the different phase features were extracted from the acquired OCT images (106), based on the differences in the optical signatures of the healthy and malignant tissues. A linear support vector model classifier was trained using 75 images, with a sensitivity of 92.10% and specificity of 89.18% was achieved. Thirty-one images were used to test the model, with a sensitivity of 90.90% and specificity of 85.0% achieved.
科研通智能强力驱动
Strongly Powered by AbleSci AI