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Projects in Awesome Lists tagged with breast-cancer

A curated list of projects in awesome lists tagged with breast-cancer .

https://github.com/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.

breast-cancer breast-cancer-prediction deep-learning deep-learning-library detection histopathological-images machine machine-learning pytorch

Last synced: 09 Dec 2024

https://github.com/elysian01/impulse-lifesaviour

Flask based web app with five machine learning models on the 10 most common disease prediction, covid19 prediction, breast cancer, chronic kidney disease and heart disease predictions with their symptoms as inputs or medical report (pdf format) as input.

breast-cancer chronic-kidney-disease covid-19 disease-prediction flask-application heart-disease machine-learning medical-diagnostics prediction

Last synced: 28 Dec 2024

https://github.com/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.

binary-classification breast-cancer breast-cancer-prediction machine-learning manipal manipal-institute wisconsin

Last synced: 20 Nov 2024

https://github.com/michasacuer/ML.NET-BreastCancer

ML.NET simple app to deal with recognizing Breast Cancer

breast-cancer ml ml-net

Last synced: 13 Nov 2024

https://github.com/andreped/dmdetect

Code relevant for training, evaluating, assessing, and deploying CNNs for image classification and segmentation of Digital Mammography images

breast-cancer cnn-classification deep-learning digital-mammography explainable-ai keras-tensorflow mammography tensorflow2 tf-data tfrecords

Last synced: 07 Nov 2024

https://github.com/script-0/breast-cancer-ai-assistant

Initiated within the frame of MLPC Pipo Competition, it is a web application based AI assistant useful for cancerologists to determine whether patients suffering or likely to suffer from breast cancer. This is done in 02 steps : Mammography and Biopsy .

breast-cancer computer-vision flask-application healthcare-application mlpc-pipo-competition

Last synced: 19 Nov 2024

https://github.com/shibajyotidebbarma/Machine-Learning-with-Scikit-Learn-Breast-Cancer-Winconsin-Dataset

In this machine learning project I will work on the Wisconsin Breast Cancer Dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter).

breast-cancer breast-cancer-prediction breast-cancer-wisconsin datascience ipython jupyter-notebook machine-learning machine-learning-algorithms neural-network neural-networks python3

Last synced: 20 Nov 2024

https://github.com/Wigder/inns

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

breast-cancer breast-cancer-diagnosis breast-cancer-prediction breastcancer-classification cancer cancer-detection classifier keras keras-tensorflow machine-learning python python3

Last synced: 20 Nov 2024

https://github.com/selcuukyilmazz/machinelearning

This code calculates breast cancer risk.

breast-cancer deep-learning machine-learning python

Last synced: 13 Nov 2024

https://github.com/yothgewalt/breast-cancer-nodules-with-unet-architecture

U-Net is a convolutional neural network that was developed for biomedical image segmentation at the Computer Science Department of the University of Freiburg.[1] The network is based on the fully convolutional network[2] and its architecture was modified and extended to work with fewer training images and to yield more precise segmentations.

breast-cancer convolutional-neural-networks unet-image-segmentation

Last synced: 29 Nov 2024

https://github.com/nafisalawalidris/logistic-regression-model-for-breast-cancer-recurrence-prediction

Predicting Breast Cancer Recurrence - A logistic regression model using patient attributes to classify recurrence risk. Dataset analysis and model evaluation. Contributions welcome.

breast-cancer classification-model data-analysis data-science healthcare logistic-regression machine-learning python recurrence-prediction scikit-learn

Last synced: 22 Nov 2024

https://github.com/rsgoksel/breast-tissue-cropper-tools

"Breast_Cropper" PyTorch model is designed for the purpose of cropping breast tissues from mammograms.

breast-cancer breast-tissue breastcancer-classification image-processing mammography mass-detection

Last synced: 02 Jan 2025

https://github.com/millyleadley/breast-cancer-genes

Predicting survival outcome in breast cancer patients based on their gene expression

breast-cancer breast-cancer-prediction breastcancer-classification data-science logistic-regression python svm

Last synced: 20 Nov 2024

https://github.com/abhipatel35/svm-hyperparameter-optimization-for-breast-cancer

Utilizing SVM for breast cancer classification, this project compares model performance before and after hyperparameter tuning using GridSearchCV. Evaluation metrics like classification report showcase the effectiveness of the optimized model.

breast-cancer cancer-diagnosis classification data-analysis data-science gridsearchcv healthcare hyperparameter-tuning jupyter-notebook machine-learning medical-imaging pycharm python scikit-learn support-vector-machine svm

Last synced: 19 Dec 2024

https://github.com/kevinadhiguna/machine-learning-mid-assessment

A Flask web application powered by perceptron single layer to predict risk of breast cancer.

breast-cancer flask neural-network perceptron python3

Last synced: 12 Nov 2024

https://github.com/androidbeingx/pandas_pt2

Copy of a stadistical class project of python library pandas and seaborn with class mates, @heloint, @anivalle

breast-cancer estadistica pandas research

Last synced: 22 Dec 2024

https://github.com/aysenurcftc/breast_cancer_streamlit

Breast Cancer Wisconsin Dataset Classifier with Scikit-learn and Streamlit

breast-cancer classification gridsearch scikit-learn streamlit

Last synced: 14 Nov 2024

https://github.com/samrudhau/breast-cancer-detection

Machine learning model that identifies and also classifies breast cancer.

breast-cancer healthcare ipynb-jupyter-notebook

Last synced: 13 Nov 2024

https://github.com/lhcee3/bc-classification

Breast Cancer classification done using both Machine Learning and Deep Learning.

breast-cancer breast-cancer-classification deep-learning machine-learning neural-networks sckit-learn tensorflow

Last synced: 17 Nov 2024

https://github.com/cbrueffer/phd_thesis

LaTeX sources for my PhD thesis RNA Sequencing for Molecular Diagnostics in Breast Cancer at the Lund University Faculty of Medicine (published December 2020).

bioinformatics breast-cancer cancer genomics latex lund lund-university lunds-universitet phd-thesis rna-seq scanb template transcriptomics

Last synced: 24 Nov 2024

https://github.com/cbrueffer/scanb_map

Map of sites participating in the SCAN-B project.

breast-cancer map r scanb sweden

Last synced: 24 Nov 2024

https://github.com/msikorski93/breast-cancer-classifying

Identifying and assigning breast cancer diagnosis using machine learning methods, based on observations in WDBC dataset. All classifiers have been evaluated and performed well for this task.

breast-cancer classification k-nearest-neighbours keras logistic-regression naive-bayes neural-networks scikit-learn tensorflow

Last synced: 09 Jan 2025

https://github.com/fedoxyz/breasttumorpredictor

SAM-2 and classification model, training on ultrasonic images dataset for predicting and segmenting breast tumors

breast-cancer breast-cancer-prediction cnn-classification opencv sam sam2 segmentation

Last synced: 02 Dec 2024

https://github.com/ayax537/convolutional-neural-network-cnn-for-image-classification

This Python script implements a Convolutional Neural Network (CNN) using TensorFlow and Keras for classifying images into different categories. The model is designed to process images of various densities, specifically for distinguishing between benign and malignant cases in a medical imaging context.

breast-cancer image-classification image-processing machine-learning

Last synced: 04 Dec 2024

https://github.com/yukti-09/breast_cancer

Determination of whether a tumor is malignant or benign. Accuracy is 97.37%

breast-cancer breast-cancer-tumor breast-cancer-wisconsin machine-learning python sklearn

Last synced: 12 Dec 2024