Name
Title | ||
|---|---|---|
Multi-region radiomics for artificially intelligent diagnosis of breast cancer using multimodal ultrasound |
Abstract | ||
|---|---|---|
•We propose an AI-based diagnosis system with multi-region multimodal radiomics to diagnose breast cancer.•Our model is significantly better than single-region single-modal methods in terms of AUC and accuracy.•Combining multi-regional radiomics features from multimodal images of breast tumors improves diagnosis accuracy. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.compbiomed.2022.105920 | Computers in Biology and Medicine |
Keywords | DocType | Volume |
Deep learning,Multimodal,Point-wise gated deep network (PGDN),Computer-aided diagnosis (CAD),Breast cancer,Radiomics | Journal | 149 |
ISSN | Citations | PageRank |
0010-4825 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhou Xu | 1 | 0 | 0.34 |
| Yuqun Wang | 2 | 0 | 0.34 |
| Man Chen | 3 | 0 | 1.01 |
| Qi Zhang | 4 | 931 | 179.66 |