Researchers have developed OkanNet, a lightweight CNN architecture for classifying brain tumors from MRI images, alongside a Transfer Learning approach using ResNet-50. While ResNet-50 outperformed OkanNet with higher accuracy and precision, OkanNet offers significant computational efficiency advantages, making it suitable for resource-constrained environments like mobile devices.
Read the full article at arXiv cs.LG (ML)
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