jimgitonga / breast-cancer-detection

Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of 7,909 microscopic images of breast tumor tissue collected from 82 patients using different magnifying factors (40X, 100X, 200X, and 400X). To date, it contains 2,480 benign and 5,429 malignant samples (700X460 pixels, 3-channel RGB, 8-bit depth in each channel, PNG format). This database has been built in collaboration with the P&D Laboratory - Pathological Anatomy and Cytopathology, Parana, Brazil.

Hi there 👋

• 🔭 I’m currently working on EMR(Electronic medical record system and health bot)
• 🌱 I’m currently learning ---Rust and Reanimated Api
• 👯 I’m looking to collaborate on ..OpenSource roles
• 🤔 I’m looking to help with Redux Boilerplates and debugging react apps
• 💬 Ask me about Typescript REDUX GOlang
• 📫 How to reach me: @https://twitter.com/jimgitonga1
• 📚 Stacks...(MERN)
• Library:
• 🔧BACKEND-TECHNOLOGY....NODEJS
• 🚨 LANGUAGES ...VANILLA JS ,PYTHON,C,also GOLANGING...........
• 🤖 Mobile development ...ReactNative(Android& IOS)
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