| Accession |
PRJCA020924 |
| Title |
Deep Learning-Based Detection and Semi-Quantitative System for STAS in Lung Adenocarcinoma |
| Relevance |
Medical |
| Data types |
digitalized H&E tiles image
|
| Organisms |
Homo
|
| Description |
we developed a robust deep learning model for STAS detection and semi-quantitative analysis. |
| Sample scope |
Multiisolate |
| Release date |
2023-10-31 |
| Publication |
| PubMed ID |
Article title |
Journal name |
DOI |
Year |
| 39103596
|
Deep learning-based detection and semi-quantitative model for spread through air spaces (STAS) in lung adenocarcinoma
|
NPJ Precision Oncology
|
10.1038/s41698-024-00664-0
|
2024
|
|
|
| Grants |
| Agency |
program |
Grant ID |
Grant title |
| No funding support
|
|
|
|
|
|
| Submitter |
Yipeng
Feng (njmufyp@163.com)
|
| Organization |
Jiangsu cancer hospital |
| Submission date |
2023-10-31 |
