Cancer-Image-Classification-with-AutoML-Driven-Neural-Architecture-Optimization
PublicA deep learning system that automatically designs optimal CNN architectures using Neural Architecture Search to classify lung - colon cancer from histopathology images. Achieves 99.72% accuracy across five cancer types with robust regularization. PyTorch-based solution ready for medical imaging deployment with exceptional generalization performane
automlautoml-algorithmscancer-detectionconvolutional-neural-networksdeep-learningflaskmachine-learningneural-architecture-optimizationneural-architecture-searchneural-network
Creat：2025-09-25T04:31:04
Update：2025-09-25T15:46:12
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