Breast Cancer Detection Using Machine Learning Project Code, PPT, Synopsis, Report and Video Explanation

Brest cancer detection from MRI scans and patient details using custom CNN architecture.

Classification of Breast Cancer diagnosis Using Support Vector Machines

The repository provides the implementation of Perceptron model and Mp neuron model and a Breast cancer detection model using both the models

Breast cancer detection model trained on DDSM dataset

AI Breast cancer detection using InBreast, CBIS-DDSM, MIAS mammography image datasets

[Big Data Analytics] This analysis aims to observe which features are most helpful in predicting malignant or benign cancer and to see general trends that may aid us in model selection and hyper parameter selection.

Improving Breast Cancer Diagnostic Workflow

Using Naive Bayes for Breast Cancer Detection

Computer vision to assist with early detection of breast cancer.

malignant or benign

Deep learning model for detection of breast cancer with superior accuracy from fine needle aspirate reports of patient.

Dissertation completed for the award of MSci in Computer Science. This dissertation is about automated breast cancer detection in low-resolution whole-slide pathology images using a deep convolutional neural network pipeline.

Medical Image processing project.

This project uses mammograms for breast cancer detection using deep learning techniques.