MSKd_Net: Multi-Head Attention-Based Swin Transformer for Kidney Diseases Classification

In renal disease classification, various pathologies such as kidney stones, renal cysts, and tumors pose significant health risks and diagnostic challenges. Annually, thousands of cases are diagnosed worldwide, impacting both pediatric and adult populations. To address this, Computer Assisted Diagno...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	H. Sharen, Modigari Narendra, L. Jani Anbarasi
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2024-01-01
Sarja:	IEEE Access
Aiheet:	Swin transformer multi-head attention model computer aided diagnosis deep learning models kidney disease
Linkit:	https://ieeexplore.ieee.org/document/10772448/
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