Minimalistic, experimental mamba, compiles to WASM
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Updated
Feb 11, 2025 - C++
Minimalistic, experimental mamba, compiles to WASM
Cross-platform secure credential storage - port of keytar to pure C++ library
Medical image segmentation remains a crucial challenge in automated cardiac diagnosis. We present the CANES-Net architecture, a novel architecture combining U-Net with Transformer attention, Mamba selective state-space modeling with class-specific loss functions to improve multi-class cardiac structure segmentation on the ACDC dataset.
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