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A hybrid approach combining texture-based (GLCM) and deep learning (ResNet50) features with unsupervised clustering and supervised classification for detecting liver diseases. Achieved 99%-100% accuracy using SVM, XGBoost, and Random Forest on pseudo-labeled medical imaging datasets

  • Updated Mar 4, 2025

A customizable Android and iOS/iPadOS WhatsApp database parser that will give you the history of your WhatsApp conversations in HTML and JSON. Android Backup Crypt12, Crypt14, Crypt15, and new schema supported.

  • Updated Mar 4, 2025
  • Python

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