Trained Machine Learning Models of '' Improving performance in colorectal cancer histology decomposition using deep and ensemble machine learning''
Published: 11 September 2024| Version 1 | DOI: 10.17632/8j997skdj8.1
Contributors:
Fabi Prezja, , , , , , Description
This repository encompasses fully trained deep and ensemble learning models from https://www.sciencedirect.com/science/article/pii/S240584402413592X. These models are available in h5 file format. To load these models effectively, users must have TensorFlow/Keras and Scikit-Learn installed, and be running Python version 3.7 or higher.
Files
Steps to reproduce
For additional information, please refer to the source article.
Categories
Machine Learning, Biomedical Imaging, Colorectal Cancer, Convolutional Neural Network, Deep Learning