Given a short query with keyphrases about a research idea in 2019 in the domain of artificial intelligence, recommend the relevant datasets to validate the research idea from options provided. A short description of the datasets is also provided to help you.

Query: We propose a method to locate the optic disc in retinal fundus images using the circular Hough transform.

Keyphrases: optic disc segmentation images

Dataset description:
FIRE: Fundus Image Registration Dataset (FIRE) is a dataset consisting of 129 retinal images forming 134 image pairs. These image pairs are split into 3 different categories depending on their characteristics.
DRIVE: The Digital Retinal Images for Vessel Extraction (DRIVE) dataset is a dataset for retinal vessel segmentation. It consists of a total of JPEG 40 color fundus images; including 7 abnormal pathology cases.
HRF: The HRF dataset is a dataset for retinal vessel segmentation which comprises 45 images and is organized as 15 subsets. Each subset contains one healthy fundus image, one image of patient with diabetic retinopathy and one glaucoma image.
G1020: A large publicly available retinal fundus image dataset for glaucoma classification called G1020. The dataset is curated by conforming to standard practices in routine ophthalmology and it is expected to serve as standard benchmark dataset for glaucoma detection.

Options:- A: FIRE  B: DRIVE  C: HRF  D: G1020
DRIVE