Breast Cancer Classification through Meta-Learning Ensemble Technique Using Convolution Neural Networks

This study aims to develop an efficient and accurate breast cancer classification model using meta-learning approaches and multiple convolutional neural networks. This Breast Ultrasound Images (BUSI) dataset contains various types of breast lesions. The goal is to classify these lesions as benign or...

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Detalles Bibliográficos
Autores principales: Ali, Muhammad Danish, Saleem, Adnan, Elahi, Hubaib, Khan, Muhammad Amir, Khan, Muhammad Ijaz, Yaqoob, Muhammad Mateen, Farooq Khattak, Umar, Al-Rasheed, Amal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10341268/
https://www.ncbi.nlm.nih.gov/pubmed/37443636
http://dx.doi.org/10.3390/diagnostics13132242

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10341268/
https://www.ncbi.nlm.nih.gov/pubmed/37443636
http://dx.doi.org/10.3390/diagnostics13132242

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