Ecosyste.ms: Awesome
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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/nyukat/breast_cancer_classifier
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
breast-cancer breast-cancer-diagnosis classification deep-learning medical-image-analysis medical-imaging neural-network pretrained-models pytorch tensorflow
Last synced: 20 Nov 2024
https://github.com/akshaybahadur21/BreastCancer_Classification
Machine learning classifier for cancer tissues 🔬
breast-cancer breast-cancer-prediction breast-cancer-wisconsin dataset-uci logistic-regression machine-learning python
Last synced: 20 Nov 2024
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/aican-research/h2g-net
🚀 H2G-Net: Segmentation of breast cancer region from whole slide images
agu-net breast-cancer clustering cnn computational-pathology convolutional-neural-networks deep-learning digital-pathology h2g-net medical-imaging mobilenetv2 refinement segmentation tensorflow tensorflow-keras u-net whole-slide-image
Last synced: 10 Nov 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/aican-research/breast-epithelium-segmentation
🌸 Breast epithelium segmentation through IHC-guided supervision
benign breast-cancer cytokeratin deep-learning digital-pathology eosin epithelium fastpathology he hematoxylin hematoxylin-eosin-staining histopathology ihc immunohistochemistry insitu invasive segmentation tissue-microarray tma
Last synced: 10 Nov 2024
https://github.com/michasacuer/ML.NET-BreastCancer
ML.NET simple app to deal with recognizing Breast Cancer
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/aydinnyunus/cancerdetection
Breast Cancer Detection
breast-cancer breast-cancer-detection breast-cancer-diagnosis breast-cancer-prediction breast-cancer-wisconsin cancer cancer-data cancer-detection deep-learning deep-neural-networks deeplearning machine-learning machine-learning-algorithms machine-learning-models machinelearning machinelearning-python makine makine-ogrenmesi medicine medicineworks
Last synced: 11 Nov 2024
https://github.com/muntahashams/breast-cancer-detection-
breast cancer detection using KNN and SVM
breast-cancer breast-cancer-detection breast-cancer-diagnosis breast-cancer-prediction breastcancer-classification deep-learning knn svm-model
Last synced: 13 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/aican-research/breast-cancer-stats
:cherry_blossom: Notebooks for making publish-worthy visualizations using WHO breast cancer data
breast-cancer cancer google-colab incidence jupyter jupyter-notebook mortality plotly prevalence statistics stats survival temporal time trend visualization who world-health-organization world-map
Last synced: 10 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/nano-bot01/breast-cancer-detection
Breast cancer detection using machine learning with deployment of model
ankit-nainwal app breast breast-cancer breast-cancer-classification breast-cancer-prediction breastcancer-classification classification deep-learning flask framework machine-learning pickle python website
Last synced: 18 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/MrKhan0747/Breast-Cancer-Detection
breast-cancer breast-cancer-prediction breast-cancer-tumor breast-cancer-wisconsin breastcancer-classification classification classification-model kaggle kaggle-dataset knn-classification logistic-regression machine-learning random-forest svm-classifier
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/victoorv/breast_cancer
Mammographic images classification
breast-cancer breast-cancer-classification classification cnn cnn-classification convnext convnext-tiny convolutional-neural-networks data data-science data-visualization feature-tuning image image-classification mammogram-images mammographic-images neural-network resnet-50 resnet50 transfer-learning
Last synced: 01 Jan 2025
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/YogiOnBioinformatics/Bioimaging-Informatics-Machine-Learning-for-Cancerous-Breast-Cell-Detection
Worked with Dr. Shandong Wu at University of Pittsburgh to use software to improve outcomes for breast cancer risk detection.
bioimaging bioinformatics breast-cancer breast-cancer-diagnosis breast-cancer-prediction breast-cancer-tumor cancer-imaging-research computational-biology fuzzy-cmeans-clustering machine-learning mammography-density matlab prediction-algorithm support-vector-machines
Last synced: 20 Nov 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/rohankumawat/knn
Repository for KNN and KMeans algorithms.
breast-cancer heartdisease kaggle kaggle-dataset knn knn-algorithm knn-classifier python3 seaborn
Last synced: 16 Nov 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/Surya-Prakash-Reddy/Breast-Cancer-Prediction
Predicts whether the type of breast cancer is Malignant or Benign
breast-cancer breast-cancer-classification breast-cancer-prediction breast-cancer-wisconsin flask flask-application svm svm-classifier
Last synced: 20 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