breast-cancer-prediction 开源项目推荐（312 个）

milaan9 /93_Python_Data_Analytics_Projects

This repository contains all the data analytics projects that I've worked on in python.

Jean-njoroge /Breast-cancer-risk-prediction

Classification of Breast Cancer diagnosis Using Support Vector Machines

kanchitank /Medibuddy-Smart-Disease-Predictor

Multiple disease prediction such as Diabetes, Heart disease, Kidney disease, Breast cancer, Liver disease, Malaria, and Pneumonia using supervised machine learning and deep learning algorithms.

Dipeshtamboli /Image-Classification-and-Localization-using-Multiple-Instance-Learning

Official code for Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning

akshaybahadur21 /BreastCancer_Classification

Machine learning classifier for cancer tissues 🔬

mrdvince /breast_cancer_detection

Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of 7,909 microscopic images.

bupt-ai-cz /BALNMP

Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides, BCNB Dataset

rishiswethan /Cancer-detection-using-CNN

This CNN is capable of diagnosing breast cancer from an eosin stained image. This model was trained using 400 images. It has an accuracy of 80%

Piyush-Bhardwaj /Breast-cancer-diagnosis-using-Machine-Learning

Machine learning is widely used in bioinformatics and particularly in breast cancer diagnosis. In this project, certain classification methods such as K-nearest neighbors (K-NN) and Support Vector Machine (SVM) which is a supervised learning method to detect breast cancer are used.

hrsht-13 /Breast-Cancer-Detection

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

MoganaD /Machine-Learning-on-Breast-Cancer-Survival-Prediction

We used different machine learning approaches to build models for detecting and visualizing important prognostic indicators of breast cancer survival rate. This repository contains R source codes for 5 steps which are, model evaluation, Random Forest further modelling, variable importance, decision tree and survival analysis. These can be a pipe…

anas-azdad /Breast-Cancer-Classification

Breast cancer classification from Mammogram images using Deep CNN with Keras and TensorFlow.

NhanPhamThanh-IT /Neural-Network-Breast-Cancer-Classification

🩺 Advanced neural network for breast cancer classification using Wisconsin dataset. Analyzes cell nucleus characteristics from FNA samples to distinguish malignant/benign masses with 96.5% accuracy. Features comprehensive documentation, automated setup, testing framework, and deployment guides. Educational ML project with 15,000+ lines of docs.

vkasojhaa /Clinical-Decision-Support-using-Machine-Learning

Predicting the Stage of Breast Cancer - M (Malignant) and B (Benign) using different Machine learning models and comparing their performance.

0xpranjal /Breast-cancer-prediction

Breast cancer detection using 4 different models i.e. Logistic Regression, KNN, SVM, and Decision Tree Machine Learning models and optimizing them for even a better accuracy.

sagnikghoshcr7 /Breast-Cancer-Prediction

A machine learning process to distinguish good from bad breast cancer.

Shilpi75 /Breast-Cancer-Prediction

Breast Cancer Prediction using fuzzy clustering and classification

nano-bot01 /Breast-Cancer-Detection

Breast cancer detection using machine learning with deployment of model

jokosuntoro /intelligent-system

Sistem Cerdas Prediksi Penyakit Kanker Payudara

pavanbadempet /PRABC

Machine learning clinical diagnostic tool estimating breast cancer risk using Random Forest classification with cross-platform desktop and mobile analytics.