RadiologyImageAnomalies

tags: Classification, Anomaly Detection, Imaging

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'RadiologyImageAnomalies' dataset is designed for the purpose of anomaly detection in radiology images. The dataset contains a collection of images sourced from radiology studies, where each image is accompanied by annotations that indicate whether an anomaly is present. The labels are binary (0 or 1), with 0 indicating a normal finding and 1 indicating the presence of an anomaly, such as a fracture, tumor, or other abnormalities. This dataset can be used for training machine learning models to automatically detect anomalies in radiology images, which can aid radiologists in early detection and diagnosis.

CSV Content Preview:

ImageID,ImageURL,Label
RAD12345,http://example.com/images/radiology/RAD12345.jpg,1
RAD12346,http://example.com/images/radiology/RAD12346.jpg,0
RAD12347,http://example.com/images/radiology/RAD12347.jpg,1
RAD12348,http://example.com/images/radiology/RAD12348.jpg,0
RAD12349,http://example.com/images/radiology/RAD12349.jpg,1

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'Radiology':

• Dataset Generation Page: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=Radiology&dataset=RadiologyImageAnomalies&tags=Classification,+Anomaly+Detection,+Imaging
• Model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
• More Datasets: https://huggingface.co/datasets?other=infinite-dataset-hub