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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Detalhes bibliográficos

Principais autores:	Govindarajan Anusooya, Selvaraj Bharathiraja, Miroslav Mahdal, Kamsundher Sathyarajasekaran, Muniyandy Elangovan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-03-01
coleção:	Sensors
Assuntos:	semantic image segmentation self-supervised wavelet-based attention network (SSW-AN) attention mechanisms self-supervised attention block (SSAB) Wavelet transform
Acesso em linha:	https://www.mdpi.com/1424-8220/23/5/2719
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