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Development of a deep learning algorithm for MRI segmentation using an attention-based U-net and Swin transformer

by Tazkia Mim Angona.

Publisher: Dhaka Institute of Information and Communication Technology (IICT), BUET 2026Description: xiii, 74 p.

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Item type	Current location	Call number	Status	Date due	Barcode
Thesis	Central Library, BUET Acquisition section		Available		121025

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Previous	Analysis of mechanical properties of dissimilar material welds and on-line defect detection by metal inert gas welding	Survey and data analysis of EGG based lie detection techniques	Hybrid deep learning framework for the diagnosis of multiple brain diseases using magnetic resonance imaging	Development of a deep learning algorithm for MRI segmentation using an attention-based U-net and Swin transformer	Investigation of the structural, dielectric and magnetic properties of synthesised Molybdenum Trioxide incorporated cobalt ferrite nanocomposites	Case study in co-production of public spacesFor inclusive city, Jhenaidah	Embodied livability of marginalized women of Dhaka slums	Next

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