Harvard Glaucoma Fairness with 3300 Samples (Harvard-GF3300)
<|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:'This Harvard-GF3300 dataset includes 3,300 samples from 3,300 patients for fairness learning in glaucoma used in our manuscript 'Harvard Glaucoma Fairness (Harvard-GF): A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization' to 2023 ICCV The corresponding code is available on our GitHub repository (https://github.com/luoyan407/Harvard-GF)' . 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" : ["AI Dataset","Computer Vision","Deep Learning","Glaucoma","Machine Learning","Medical Imaging"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This Harvard-GF3300 dataset includes 3,300 samples from 3,300 patients for fairness learning in glaucoma used in our manuscript 'Harvard Glaucoma Fairness (Harvard-GF): A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization' to 2023 ICCV The corresponding code is available on our GitHub repository (https://github.com/luoyan407/Harvard-GF)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This Harvard-GF3300 dataset includes 3,300 samples from 3,300 patients for fairness learning in glaucoma used in our manuscript 'Harvard Glaucoma Fairness (Harvard-GF): A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization' to 2023 ICCV The corresponding code is available on our GitHub repository (https://github.com/luoyan407/Harvard-GF)
AI Dataset; Computer Vision; Deep Learning; Glaucoma; Machine Learning; Medical Imaging