Brain Tumor Segmentation and Classification from Sensor-Based Portable Microwave Brain Imaging System Using Lightweight Deep Learning Models

Automated brain tumor segmentation from reconstructed microwave (RMW) brain images and image classification is essential for the investigation and monitoring of the progression of brain disease. The manual detection, classification, and segmentation of tumors are extremely time-consuming but crucial...

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Detalles Bibliográficos
Autores principales: Hossain, Amran, Islam, Mohammad Tariqul, Rahman, Tawsifur, Chowdhury, Muhammad E. H., Tahir, Anas, Kiranyaz, Serkan, Mat, Kamarulzaman, Beng, Gan Kok, Soliman, Mohamed S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046629/
https://www.ncbi.nlm.nih.gov/pubmed/36979514
http://dx.doi.org/10.3390/bios13030302

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046629/
https://www.ncbi.nlm.nih.gov/pubmed/36979514
http://dx.doi.org/10.3390/bios13030302

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