Harvard Glaucoma Detection with 500 Samples (Harvard-GD500)
<|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-GD500 dataset includes 500 samples from 500 patients for glaucoma detection for confirming results in our paper 'Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma' published in the Journal of Biomedical and Health Informatics' . 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-GD500 dataset includes 500 samples from 500 patients for glaucoma detection for confirming results in our paper 'Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma' published in the Journal of Biomedical and Health Informatics' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This Harvard-GD500 dataset includes 500 samples from 500 patients for glaucoma detection for confirming results in our paper 'Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma' published in the Journal of Biomedical and Health Informatics
AI Dataset; Computer Vision; Deep Learning; Glaucoma; Machine Learning; Medical Imaging