Name
Abstract | ||
|---|---|---|
Breast tumor classification with multiple medical reports such as B-ultrasound, Mammography (X-ray) and Nuclear Magnetic Resonance Imaging (MRI) is crucial to the intelligent cancer diagnosis system. Unlike the other domain texts, the medical reports have latent hierarchical syntactic structures and have hidden rich semantic information about the entities and relationships, which poses a great cha... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCBB.2019.2955484 | IEEE/ACM Transactions on Computational Biology and Bioinformatics |
Keywords | DocType | Volume |
Semantics,Breast tumors,Medical diagnostic imaging,Magnetic resonance imaging,Cancer | Journal | 18 |
Issue | ISSN | Citations |
3 | 1545-5963 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dehua Chen | 1 | 0 | 4.06 |
| Meihuaju Huang | 2 | 0 | 0.34 |
| Weimin Li | 3 | 63 | 25.40 |