MIF-BTF-MRN: Medical image fusion based on the bilateral texture filter and transfer learning with the ResNet-101 network

Medical image fusion plays a vital role in clinical applications by combining complementary information from different imaging modalities, such as MRI, CT, PET, and SPECT, into a single, more informative image. This process is essential for noninvasive diagnostics, treatment planning, and image-guid...

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Vydáno v:	Biomedical signal processing and control Ročník 100; s. 106976
Hlavní autor:	Dinh, Phu-Hung
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.02.2025
Témata:	Bilateral Texture Filter (BTF) Crayfish optimization algorithm (COA) ResNet101 ResNet101 Crayfish optimization algorithm (COA) Bilateral Texture Filter (BTF)
ISSN:	1746-8094
On-line přístup:	Získat plný text
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