This study aims to address this issue by developing and validating a fast and precise multi-phase classifier capable of recognizing the three main types of contrast phases in abdominal CT scans.
VinDr-RibCXR dataset, sourced from the de-identified VinDrCXR dataset, provides high-quality annotated medical images for developing instance segmentation models.
VinDr-SpineXR is a dataset created by VinBigdata to address the challenge of developing a comprehensive system for classifying and localizing multiple spine lesions from X-ray scans due to the lack of large datasets with high-quality images and human annotations.
To support medical imaging research, VinBigdata has built the VinDr-CXR dataset, a vast collection of high-quality chest x-ray (CXR) images. The dataset includes 18,000 postero-anterior (PA) view CXR scans from top hospitals in Vietnam, annotated by a team of 17 experienced radiologists.
Get in touch with us