Clavicle segmentation in chest radiographs
🔗2012
🔗Journal/Publication: Medical Image Analysis
🔗Read it in full version: http://dx.doi.org/10.1016/j.media.2012.06.009
Fusion of local and global detection systems to detect tuberculosis in chest radiographs
Fusion of local and global detection systems to detect tuberculosis in chest radiographs
🔗2010
🔗Journal/Publication: Medical Image Computing and Computer-Assisted Intervention
🔗Read it in full version: https://link.springer.com/chapter/10.1007%2F978-3-642-15711-0_81
Rib Suppression in Chest Radiographs to Improve Classification of Textural Abnormalities
Rib Suppression in Chest Radiographs to Improve Classification of Textural Abnormalities
🔗2010
🔗Journal/Publication: Proceeding from SPIE Medical Imaging 2010
🔗Read it in full version: https://doi.org/10.1117/12.844409
Dissimilarity-based Classification in the Absence of Local Ground Truth: Application to the Diagnostic Interpretation of Chest Radiographs
Dissimilarity-based Classification in the Absence of Local Ground Truth: Application to the Diagnostic Interpretation of Chest Radiographs
🔗2009
🔗Journal/Publication: Pattern Recognition
🔗Read it in full version: https://doi.org/10.1016/j.patcog.2009.01.016
Computer-aided detection of interstitial abnormalities in chest radiographs using a reference standard based on computed tomography
Computer-aided detection of interstitial abnormalities in chest radiographs using a reference standard based on computed tomography
🔗2007
🔗Journal/Publication: Medical Physics
🔗Read it in full version: https://doi.org/10.1118/1.2795672
Segmentation of Anatomical Structures in Chest Radiographs Using Supervised Methods: a Comparative Study on a Public Database
Segmentation of Anatomical Structures in Chest Radiographs Using Supervised Methods: a Comparative Study on a Public Database
🔗2006
🔗Journal/Publication: Medical Image Analysis
🔗Read it in full version: https://doi.org/10.1016/j.media.2005.02.002
Automatic Detection of Abnormalities in Chest Radiographs Using Local Texture Analysis
Automatic Detection of Abnormalities in Chest Radiographs Using Local Texture Analysis
🔗2002
🔗Journal/Publication: IEEE Transactions on Medical Imaging
🔗Read it in full version: https://ieeexplore.ieee.org/document/993132
Finding the missed millions: innovations to bring tuberculosis diagnosis closer to key populations
Finding the missed millions: innovations to bring tuberculosis diagnosis closer to key populations
🔗2024
🔗Journal/Publication: BMC Global and Public Health
🔗Read it in full version: https://doi.org/10.1186/s44263-024-00063-4
Abstract
Current strategies to promptly, effectively, and equitably screen […]
Tweaking algorithms. Technopolitical issues associated with artificial intelligence based tuberculosis detection in global health
Tweaking algorithms. Technopolitical issues associated with artificial intelligence based tuberculosis detection in global health
🔗2024
🔗Journal/Publication: Sage Journals
🔗Read it in full version: https://doi.org/10.1177/20552076241239778
Abstract
Computer-aided detection algorithms based on artificial intelligence are increasingly being […]
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians
🔗2023
🔗Journal/Publication: Nature Medicine
🔗Read it in full version: https://doi.org/10.1038/s41591-023-02437-x
Abstract
Predictive artificial intelligence (AI) systems based on deep learning have been […]