#
ghost-network
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Fast and lightweight lung cancer histopathology image classification using knowledge distillation. The project transfers knowledge from an EdgeNeXt teacher model to a GhostNet student, achieving 99% test accuracy with low inference latency, suitable for real-time and low-resource clinical systems.
pytorch lung-cancer knowledge-distillation teacher-student-learning histopathology medical-imaging-with-deep-learning ghost-network
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Updated
Jan 22, 2026 - Python
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