Name
Title | ||
|---|---|---|
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction |
Abstract | ||
|---|---|---|
Pancreatic ductal adenocarcinoma (PDAC) is the third most common cause of cancer death in the United States. Predicting tumors like PDACs (including both classification and segmentation) from medical images by deep learning is becoming a growing trend, but usually a large number of annotated data are required for training, which is very labor-intensive and time-consuming. In this paper, we conside... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TMI.2021.3060066 | IEEE Transactions on Medical Imaging |
Keywords | DocType | Volume |
Annotations,Image segmentation,Training data,Computed tomography,Training,Diseases,Cancer | Journal | 40 |
Issue | ISSN | Citations |
10 | 0278-0062 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yan Wang | 1 | 0 | 0.34 |
| Peng Tang | 2 | 34 | 3.20 |
| Yuyin Zhou | 3 | 97 | 10.94 |
| Wei Shen | 4 | 5 | 1.10 |
| Elliot K. Fishman | 5 | 164 | 27.51 |
| Alan L. Yuille | 6 | 27 | 7.33 |