Replication Data for: Knowledge transfer to enhance the performance of deep learning models for automated classification of B-cell neoplasms
<|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:'B-cell lymphoma flow cytometry data from 5 different laboratories containing both normal samples and lymphoma samples with subtype information.This dataset is used for transfer learning evaluation of a CNN model for automated classification.CAVE: Dataset is split into separate parts and needs to be concatenated before decompression.$ cat [datasetname].tar.gz.* > [datasetname].tar.gz</code' . 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" : ["fcs","lymphoma","machine learning","transfer learning"]} <|eot_id|>
 Here is the Description of a dataset. Description:'B-cell lymphoma flow cytometry data from 5 different laboratories containing both normal samples and lymphoma samples with subtype information.This dataset is used for transfer learning evaluation of a CNN model for automated classification.CAVE: Dataset is split into separate parts and needs to be concatenated before decompression.$ cat [datasetname].tar.gz.* > [datasetname].tar.gz</code' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
B-cell lymphoma flow cytometry data from 5 different laboratories containing both normal samples and lymphoma samples with subtype information.This dataset is used for transfer learning evaluation of a CNN model for automated classification.CAVE: Dataset is split into separate parts and needs to be concatenated before decompression.$ cat [datasetname].tar.gz.* > [datasetname].tar.gz</code
fcs; lymphoma; machine learning; transfer learning