Multi-Laboratory Hematoxylin and Eosin Staining Variance Unsupervised Machine Learning Dataset
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'We provide the generated dataset used for unsupervised machine learning in the related article. The data are in tabular format and contain all principal components and ground truth labels, per tissue type. Tissue type codes used are; C1 for kidney, C2 for skin, C3 for colon, and 'PC' for the principal component. Please see the original design in the related article for feature extraction specifications. Features have been extracted independently for each tissue type' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Artificial Intelligence","Histopathology","Machine Learning"]} <|eot_id|>
 Here is the Description of a dataset. Description:'We provide the generated dataset used for unsupervised machine learning in the related article. The data are in tabular format and contain all principal components and ground truth labels, per tissue type. Tissue type codes used are; C1 for kidney, C2 for skin, C3 for colon, and 'PC' for the principal component. Please see the original design in the related article for feature extraction specifications. Features have been extracted independently for each tissue type' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
We provide the generated dataset used for unsupervised machine learning in the related article. The data are in tabular format and contain all principal components and ground truth labels, per tissue type. Tissue type codes used are; C1 for kidney, C2 for skin, C3 for colon, and 'PC' for the principal component. Please see the original design in the related article for feature extraction specifications. Features have been extracted independently for each tissue type
Artificial Intelligence; Histopathology; Machine Learning