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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主要な著者:	Govindarajan Anusooya, Selvaraj Bharathiraja, Miroslav Mahdal, Kamsundher Sathyarajasekaran, Muniyandy Elangovan
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2023-03-01
シリーズ:	Sensors
主題:	semantic image segmentation self-supervised wavelet-based attention network (SSW-AN) attention mechanisms self-supervised attention block (SSAB) Wavelet transform
オンライン･アクセス:	https://www.mdpi.com/1424-8220/23/5/2719
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