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biomedical-imaging

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OpenCV-Mitosis-Detection

This repository contains a Python application using OpenCV for detecting mitosis in images. Aimed at researchers and biologists, it provides tools to automate the counting and identification of mitotic figures in microscopic images, supporting studies in cellular biology and medical diagnostics.

  • Updated Jun 17, 2024
  • Jupyter Notebook

🎯 Top 204 solution for Elucidata AI Challenge 2025 – Predicting spatial cell-type composition from histology images using CNNs with EfficientNet & ResNet backbones, multi-scale patching, and coordinate-aware ensemble modeling.

  • Updated Jun 10, 2025
  • Python

This repository offers a deep learning solution for predicting spatial cell-type compositions from histology images, achieving a top 204 rank in the Global AI Kaggle Hackathon 2025. Explore the code and methodologies used to extract and analyze image data effectively. πŸ±πŸ’»πŸ“Š

  • Updated Jun 28, 2025
  • Python

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