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Patchless Multi-Stage Transfer Learning for Improved Mammographic Breast Mass Classification
SIMPLE SUMMARY: In this study, we propose a novel deep-learning method based on multi-stage transfer learning (MSTL) from ImageNet and cancer cell line image pre-trained models to classify mammographic masses as either benign or malignant. The proposed method alleviates the challenge of obtaining la...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8909211/ https://www.ncbi.nlm.nih.gov/pubmed/35267587 http://dx.doi.org/10.3390/cancers14051280 |