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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ayana, Gelan, Park, Jinhyung, Choe, Se-woon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8909211/
https://www.ncbi.nlm.nih.gov/pubmed/35267587
http://dx.doi.org/10.3390/cancers14051280

Ejemplares similares