| _version_ | 1866902259528368128 |
|---|---|
| author | Li, Yongbin |
| author_facet | Li, Yongbin |
| contents | <p>This repository provides the GCSAM-based lung nodule detection framework that we proposed, which utilizes a two-stage pipeline: Candidate Nodule Detection (CND) and False Positive Reduction (FPR). For any inquiries, please contact: bynn456@126.com.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15636471 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Lung Nodule Detection Using a Multi-Scale Convolutional Neural Network and Global Channel Spatial Attention Mechanisms Li, Yongbin <p>This repository provides the GCSAM-based lung nodule detection framework that we proposed, which utilizes a two-stage pipeline: Candidate Nodule Detection (CND) and False Positive Reduction (FPR). For any inquiries, please contact: bynn456@126.com.</p> |
| title | Lung Nodule Detection Using a Multi-Scale Convolutional Neural Network and Global Channel Spatial Attention Mechanisms |
| url | https://doi.org/10.5281/zenodo.15636471 |