Data Sets

Numerical

The Colon_cancer_Craiova_LOS data set contains 368 samples, described by 8 attributes and has 3 classes. Its description can be found in the following paper:

• • Ruxandra Stoean, Catalin Stoean, Adrian Sandita, Daniela Ciobanu, Cristian Mesina, Ensemble of Classifiers for Length of Stay Prediction in Colorectal Cancer, International Work-Conference on Artificial Neural Networks (IWANN 2015), Advances in Computational Intelligence, Lecture Notes in Computer Science, Springer, Volume 9094, Palma de Mallorca, Spain, 10-12 June, pp. 444-457, 2015.

If you publish material based on the current database, please refer the paper above within the References section.

The Colon_cancer_Craiova_LOS_621.zip data set comprises 621 samples characterized by 8 attributes and has three classes related to the patients length of stay in the hospital. The data has been collected between 2007 and 2014. Its description can be found in the following article:

• • Ruxandra Stoean, Catalin Stoean, Adrian Sandita, Daniela Ciobanu, Cristian Mesina, Interpreting Decision Support from Multiple Classifiers for Predicting Length of Stay in Patients with Colorectal Carcinoma, Neural Processing Letters, DOI 10.1007/s11063-017-9585-7, pp.1-17, 2017.

If you publish material based on the current database, please refer the paper above within the References section.

Images

This archive contains the original and marked histopathological images that were used in the experiments from the fifth entry in the publication list. The code used within the same study is available here.

A data set with 357 histopathological images separated into 4 categories is available here.