Correlation Based Breast Cancer Detection using Machine Learning
Compared five machine learning classifiers with k-fold cross-validation and ROC-AUC analysis, reaching 98.6% classification accuracy.
Read the paper ↗Publications, a patent and research projects, from embedded electronics to deep learning for medical images.
Compared five machine learning classifiers with k-fold cross-validation and ROC-AUC analysis, reaching 98.6% classification accuracy.
Read the paper ↗Fine-tuned pretrained CNNs (MobileNetV2, VGG16) with augmentation and dropout, reaching 89% accuracy.
Read the paper ↗An anti-theft suitcase with fingerprint access, GPS tracking and an alarm, built with Arduino, Raspberry Pi and GSM. Government-funded.
View on NEC patents page ↗Working notebooks on image processing, signal processing, ML and deep learning projects, plus electronics in C++.
View on GitHub ↗