Trained Machine Learning Models of '' Improving performance in colorectal cancer histology decomposition using deep and ensemble machine learning'

Trained Machine Learning Models of '' Improving performance in colorectal cancer histology decomposition using deep and ensemble machine learning'

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 ru...

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Bibliographische Detailangaben
Hauptverfasser: Prezja, Fabi, Annala, Leevi, Kiiskinen, Sampsa, Lahtinen, Suvi, Ojala, Timo, Ruusuvuori, Pekka, Kuopio, Teijo
Format: Dataset
Sprache:eng
Schlagworte:
Biomedical Imaging
Colorectal Cancer
Convolutional Neural Network
Deep Learning
Machine Learning
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Beschreibung
Zusammenfassung: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.
DOI:10.17632/8j997skdj8.1