Predicts whether the type of breast cancer is Malignant or Benign
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Updated
Jun 24, 2019 - HTML
Predicts whether the type of breast cancer is Malignant or Benign
data science and machine learning
Developed an AI model which has the ability to detect whether the given person has breast cancer on the basis of mammogram images that is input by user. All this is contained in a web app.
breast cancer analysis system, in which using neural networks makes it possible to determine whether or not a breast cell sample is cancerous.
🎗️ A breast cancer diagnosis decision support system designed to aid medical professionals in making early diagnoses for breast cancer patients. Project for MSCI 444 (Decision Support Systems) at the University of Waterloo.
Breast Cancer Awareness campaign
This repository contains machine learning models developed to predict breast cancer diagnosis with 96% accuracy, utilizing logistic regression and decision tree algorithms on the Breast Cancer Dataset from Kaggle.
Breast cancer detection using machine learning with deployment of model
Classifying Breast Cancer Tumors
Breast Cancer Report - Predicting The Malignancy of Breast Tumors
A web-based application for classifying breast ultrasound images into benign, malignant, or normal categories. Built with Flask for the web interface and TensorFlow for image classification. Dockerized for easy deployment and consistent environments. Includes comprehensive documentation, sample images, and a demonstration video
Think Pink - Web Application About breast cancer detection using artificial intelligence
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