Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning.
Objectives: To investigate the optimal input matrix size for deep learning-based computer-aided detection (CAD) of nodules and masses on chest radiographs.Methods: We retrospectively collected 2088 abnormal (nodule/mass) and 352 normal chest radiographs from two institutions. Three thoracic radiolog...
| Publicado en: | European Radiology Vol. 30; no. 9; pp. 4943 - 4952 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Sep2020
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| Acceso en línea: | Ver este registro en EBSCOhost |