|
|
Features (特点):
- Include tumor segmentation, feature extraction, tumor classification and prediction models.
-
使用了贯穿数据
分割、
特征提取、
分析预测的全链条数据挖掘技术
- Automatic tumor segmentation and 592 features extraction.
-
可实现肿瘤的
自动分割和
592
个特征的提取
- Tumor benign vs. malignant classification, assist diagnosis for radiologists.
-
可以进行
肿瘤良恶性预测，为临床诊断提供第二意见
- Neural network-based models are trained with multi-center, multi-modality image data from CAS key
laboratory of molecular imaging.
-
人工智能网络模型来源于中科院分子影像重点实验室构建的
多中心、多肿瘤、多模态的影像组学临床数据资源库
|
