BreastNet18: A High Accuracy Fine-Tuned VGG16 Model Evaluated Using Ablation Study for Diagnosing Breast Cancer from Enhanced Mammography Images

SIMPLE SUMMARY: Breast cancer diagnosis at an early stage using mammography is important, as it assists clinical specialists in treatment planning to increase survival rates. The aim of this study is to construct an effective method to classify breast images into four classes with a low error rate....

Descripción completa

Detalles Bibliográficos
Autores principales: Montaha, Sidratul, Azam, Sami, Rafid, Abul Kalam Muhammad Rakibul Haque, Ghosh, Pronab, Hasan, Md. Zahid, Jonkman, Mirjam, De Boer, Friso
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8698892/
https://www.ncbi.nlm.nih.gov/pubmed/34943262
http://dx.doi.org/10.3390/biology10121347

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8698892/
https://www.ncbi.nlm.nih.gov/pubmed/34943262
http://dx.doi.org/10.3390/biology10121347

Ejemplares similares