Hypermetabolic pulmonary lesions detection and diagnosis based on PET/CT imaging and deep learning models.
Purpose: This study aims to develop and evaluate deep learning models for the detection and classification of hypermetabolic lung lesions into four categories: benign, lung cancer, pulmonary lymphoma, and metastasis. These categories are defined by their pathological origin, clinical relevance, and...
| Publicado en: | European Journal of Nuclear Medicine & Molecular Imaging Vol. 52; no. 10; pp. 3792 - 3807 |
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| Autores principales: | , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Aug2025
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| Acceso en línea: | Ver este registro en EBSCOhost |