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#

breastcancer-classification

Here are 85 public repositories matching this topic...

Classifying malignant and benign tumors using Neural Networks 🔬

  • UpdatedJun 4, 2021
  • MATLAB

Chinese Mammography Database (CMMD dataset) Deep Learning Classification Pipeline

  • UpdatedMar 15, 2022
  • Jupyter Notebook

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.

  • UpdatedFeb 26, 2019
  • Jupyter Notebook

This project is a part of research on Breast Cancer Diagnosis with Machine Learning algorithm using data-driven approaches. The final outcomes of the research were later published at an IEEE Conference and added to IEEE Xplore Digital Library.

  • UpdatedAug 8, 2021
  • Jupyter Notebook

Breast cancer is the most common form of cancer in women, and invasive ductal carcinoma (IDC) is the most common form of breast cancer. Accurately identifying and categorizing breast cancer subtypes is an important clinical task, and automated methods can be used to save time and reduce error. The goal of this script is to identify IDC when it i…

  • UpdatedDec 5, 2018
  • Jupyter Notebook

Breast cancer diagnoses with four different machine learning classifiers (SVM, LR, KNN, and EC) by utilizing data exploratory techniques (DET) at Wisconsin Diagnostic Breast Cancer (WDBC) and Breast Cancer Coimbra Dataset (BCCD).

  • UpdatedJul 9, 2022
  • Jupyter Notebook

The objective of the project was to build various models and compare their prediction performance based on accuracy.

  • UpdatedDec 21, 2019
  • Jupyter Notebook

Detects stage of breast cancer.

  • UpdatedFeb 8, 2018
  • Jupyter Notebook

An AI-powered Web app to detect the presence of Invasive Ductal Carcinoma (IDC) in histopathology breast-tissue images

  • UpdatedDec 23, 2022
  • Jupyter Notebook

This repository contains all classification code implementations for the listed datasets. The projects include data preprocessing, model training and evaluation, with a focus on reproducibility and robust analysis.

  • UpdatedMar 23, 2025
  • Jupyter Notebook
inns

An experiment using neural networks to predict obesity-related breast cancer over a small dataset of blood samples.

  • UpdatedApr 19, 2020
  • Python

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