breast_cancer_classifier
Mammography classifier
A Python-based deep learning model for breast cancer classification from mammography images
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
843 stars
48 watching
269 forks
Language: Jupyter Notebook
last commit: 11 months ago breast-cancerbreast-cancer-diagnosisclassificationdeep-learningmedical-image-analysismedical-imagingneural-networkpretrained-modelspytorchtensorflow
Related projects:
Repository | Description | Stars |
---|---|---|
ecobost/cnn4brca | This project uses Convolutional Neural Networks (CNN) for image segmentation of breast cancer lesions. | 75 |
ibm/max-breast-cancer-mitosis-detector | A machine learning-based system for detecting mitosis in breast cancer tumor cells from images | 23 |
lishen/end2end-all-conv | Develops machine learning models to detect breast cancer from mammography images using deep learning techniques | 374 |
cmsflash/beauty-net | Provides a basic framework for training deep learning models on image classification tasks using PyTorch | 187 |
felixgwu/img_classification_pk_pytorch | A PyTorch project for comparing image classification models and facilitating quick experiment setup | 365 |
yashpasar/brain-tumor-classification-and-detection-machine-learning | A machine learning project to classify brain tumor images into malignant and benign using image processing techniques | 39 |
ibm/max-inception-resnet-v2 | An image classification model using a third-generation deep residual network. | 28 |
cauchyturing/ucr_time_series_classification_deep_learning_baseline | Developing and evaluating deep learning models for time series classification with a focus on interpretability and deployability. | 677 |
codait/deep-histopath | Develops an automatic prediction model for breast cancer proliferation scores from whole-slide histopathology images using deep learning techniques. | 206 |
ibm/max-resnet-50 | An image classification model using the ResNet-50 architecture, trained on the ImageNet dataset. | 14 |
bmirds/deepslide | Classifies high-resolution microscopy images of lung adenocarcinoma using deep neural networks with a sliding window framework. | 489 |
ethanhe42/u-net | A convolutional neural network architecture for biomedical image segmentation | 426 |
chenxi116/pnasnet.tf | An implementation of PNASNet-5 architecture in TensorFlow for image classification on ImageNet. | 102 |
abbypa/nnproject_deepmask | A deep learning implementation of an object segmentation algorithm. | 187 |
sergioburdisso/pyss3 | A Python package implementing an interpretable machine learning model for text classification with visualization tools | 336 |