GATransformer: A Graph Attention Network-Based Transformer Model to Generate Explainable Attentions for Brain Tumor Detection

Brain tumors profoundly affect human health owing to their intricacy and the difficulties associated with early identification and treatment. Precise diagnosis is essential for effective intervention; nevertheless, the resemblance among tumor forms often complicates the identification of brain tumor...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Sara Tehsin, Inzamam Mashood Nasir, Robertas Damaševičius
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2025-02-01
Sarja:	Algorithms
Aiheet:	graph attention network Transformer brain tumor detection cross-dataset validation attention maps explainability
Linkit:	https://www.mdpi.com/1999-4893/18/2/89
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