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: Convolutional neural network to aid physicians in the diagnosis of vascular anomalies and other pediatric skin conditions.

Keyphrases: skin condition classification images

Dataset description:
ImageNet: The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the ImageNet Large Scale Visual Recognition Challenge (ILSVRC), a benchmark in image classification and object detection.
ISIC 2018 Task 2: The ISIC 2018 dataset was published by the International Skin Imaging Collaboration (ISIC) as a large-scale dataset of dermoscopy images. The Task 2 dataset is the challenge on lesion attribute detection.
AIDS Antiviral Screen: The AIDS Antiviral Screen dataset is a dataset of screens checking tens of thousands of compounds for evidence of anti-HIV activity. The available screen results are chemical graph-structured data of these various compounds.
ISIC 2018 Task 3: The ISIC 2018 dataset was published by the International Skin Imaging Collaboration (ISIC) as a large-scale dataset of dermoscopy images. The Task 3 dataset is the challenge on lesion classification.

Options:- A: ImageNet  B: ISIC 2018 Task 2  C: AIDS Antiviral Screen  D: ISIC 2018 Task 3
ImageNet