Browsing by Author "Dao, Minh"
Now showing items 1-5 of 5
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VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations
(2022)Most of the existing chest X-ray datasets include labels from a list of findings without specifying their locations on the radiographs. This limits the development of machine learning algorithms for the detection and ... -
VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations
(2022-03-20)Most of the existing chest X-ray datasets include labels from a list of findings without specifying their locations on the radiographs. This limits the development of machine learning algorithms for the detection and ... -
VinDr-Mammo: A large-scale benchmark dataset for computer- aided diagnosis in full-feld digital mammography
(2023)Mammography, or breast X-ray imaging, is the most widely used imaging modality to detect cancer and other breast diseases. Recent studies have shown that deep learning-based computer-assisted detection and diagnosis (CADe/x) ... -
VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography
(2023)Mammography, or breast X-ray imaging, is the most widely used imaging modality to detect cancer and other breast diseases. Recent studies have shown that deep learning-based computer-assisted detection and diagnosis (CADe/x) ... -
VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs
(2021-06-24)Radiographs are used as the most important imaging tool for identifying spine anomalies in clinical practice. The evaluation of spinal bone lesions, however, is a challenging task for radiologists. This work aims at ...
