Self-Supervised Wavelet-Based Attention Network for Semantic Segmentation of MRI Brain Tumor

To determine the appropriate treatment plan for patients, radiologists must reliably detect brain tumors. Despite the fact that manual segmentation involves a great deal of knowledge and ability, it may sometimes be inaccurate. By evaluating the size, location, structure, and grade of the tumor, aut...

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Detalles Bibliográficos
Autores principales: Anusooya, Govindarajan, Bharathiraja, Selvaraj, Mahdal, Miroslav, Sathyarajasekaran, Kamsundher, Elangovan, Muniyandy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007092/
https://www.ncbi.nlm.nih.gov/pubmed/36904923
http://dx.doi.org/10.3390/s23052719

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007092/
https://www.ncbi.nlm.nih.gov/pubmed/36904923
http://dx.doi.org/10.3390/s23052719

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