Browsing School of Pure and Applied Sciences by Subject "deep transfer learning"

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Deep Transfer Learning Optimization Techniques for Medical Image Classification: A Review

Kariuki, Paul Wahome; Gikunda, Patrick Kinyua; Wandeto, John Mwangi (2022)

Medical image classification is a complex and challenging task due to the heterogeneous nature of medical data. Deep transfer learning has emerged as a promising technique for medical image classification, allowing the ...