An Automated Brain Metastasis Detection and Segmentation System from MRI with a Large Multi Institutional Dataset

Y. Yoo, E. Gibson, G. Zhao, A. Sandu, T. Re, J. Das, W. Hesheng, M. M. Kim,C. Shen, Y. Z. Lee, D. Kondziolka,M. Ibrahim, J. Lian,R. Jain, T. Zhu, H. Parmar,D. Comaniciu, J. Baiter, Y. Cao

International journal of radiation oncology, biology, physics(2023)

引用 0|浏览11
暂无评分
摘要
We achieved excellent detection sensitivity and segmentation accuracy for BMs > 0.1 cm, and promising performance for small BMs (<0.1cm) with a controlled FP rate using a large multi-institutional dataset. Clinical utility for assisting early detection and SRS planning will be investigated. Table 1: Per-lesion detection and segmentation performance stratified by individual BM size. N is the number of BMs in each category.
更多
查看译文
关键词
automated brain metastasis detection,segmentation system,mri,multi-institutional
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要