Lung Nodule Detection Using a Multi-Scale Convolutional Neural Network and Global Channel Spatial Attention Mechanisms
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| Format: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866902259522076672 |
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| 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).</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14986605 |
| 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).</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.14986605 |