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Found 5 papers, 2 papers with code
Automatic classification of prostate MR series type using image content and metadata
With the wealth of medical image data, efficient curation is essential.
Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels
Our approach shows comparable results compared to fully-supervised segmentation methods trained on MR data.
Enrichment of the NLST and NSCLC-Radiomics computed tomography collections with AI-derived annotations
As part of the effort to enrich public data available within NCI Imaging Data Commons (IDC), here we introduce AI-generated annotations for two collections of computed tomography images of the chest, NSCLC-Radiomics, and the National Lung Screening Trial.
Unsupervised diffeomorphic cardiac image registration using parameterization of the deformation field
Finally, it is suitable for cardiac data processing, since the nature of this parameterization is to define the deformation field in terms of the radial and rotational components.
A New Semi-Automated Algorithm for Volumetric Segmentation of the Left Ventricle in Temporal 3D Echocardiography Sequences
Purpose: Echocardiography is commonly used as a non-invasive imaging tool in clinical practice for the assessment of cardiac function.
