1. 基于活动轮廓模型和影像组学的 乳腺癌LVI 状态预测.
- Author
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冯 宝, 李昌林, 李 智, and 刘壮盛
- Abstract
To predict preoperative lymphovascular invasion(LVI)status of breast cancer patientsꎬ a computer ̄aided analysis method which combines an active contour model and radiomics is proposed. Firstꎬ the image from dynamic contrast enhanced magnetic resonance imaging(DCE ̄ MRI)of breast cancer is segmented by an active contour model(ACM)based on post probability and fuzzy velocity function. By constructing the region term of the active contour model based on post probability in the wavelet domain and the edge stop term of the active contour model by using the fuzzy velocity functionꎬ the accuracy of breast cancer lesion segmentation can be improved. Secondꎬ the image features such as morphologyꎬ grayscale and texture are extracted. Finallyꎬ a model for predicting LVI status is developed by the random forest classifier and its predictive ability is verified by experimental results. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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