datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
RadiologyImageAnomalies
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… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/RadiologyImageAnomalies.USI-FLFib
If you are not subscribed to Abdominal Radiology - Springer Link Journal, you can view the full version of our paper by clicking on this link
RXL-USI-FLFibis an original dataset collected at a tertiary care referral center, as part of a prospective study on hepatocellular carcinoma screening (NCT05716620) after informed written consent.
Image acquisition protocol:
All US scans were performed using a GE LOGIQ S8 scanner with a C1-6-D curvilinear transducer (frequency range: 1–6… See the full description on the dataset page: https://huggingface.co/datasets/RadioX-Labs/USI-FLFib.custom_dataset_radiology
