Automatic quantification of bone marrow edema on MRI of the wrist in patients with early arthritis: A feasibility study
Sign Up to like & getrecommendations! Published in 2018 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.26712
Abstract: To investigate the feasibility of automatic quantification of bone marrow edema (BME) on MRI of the wrist in patients with early arthritis. read more here.
Keywords: mri wrist; marrow edema; quantification bone; automatic quantification ... See more keywords
Deep Learning–Based Automatic CT Quantification of Coronavirus Disease 2019 Pneumonia: An International Collaborative Study
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Computer Assisted Tomography"
DOI: 10.1097/rct.0000000000001303
Abstract: Abstract Objective We aimed to develop and validate the automatic quantification of coronavirus disease 2019 (COVID-19) pneumonia on computed tomography (CT) images. Methods This retrospective study included 176 chest CT scans of 131 COVID-19 patients… read more here.
Keywords: coronavirus disease; pneumonia; automatic quantification; extent weight ... See more keywords
ZFTool: A Software for Automatic Quantification of Cancer Cell Mass Evolution in Zebrafish
Sign Up to like & getrecommendations! Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11167721
Abstract: Background: Zebrafish (Danio rerio) is a model organism for the study of human cancer. Compared with the murine model, the zebrafish model has several properties ideal for personalized therapies. The transparency of the zebrafish embryos… read more here.
Keywords: evolution; zftool; quantification cancer; automatic quantification ... See more keywords
Deep Learning for the Automatic Quantification of Pleural Plaques in Asbestos-Exposed Subjects
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph19031417
Abstract: Objective: This study aimed to develop and validate an automated artificial intelligence (AI)-driven quantification of pleural plaques in a population of retired workers previously occupationally exposed to asbestos. Methods: CT scans of former workers previously… read more here.
Keywords: automatic quantification; learning automatic; pleural plaques; quantification pleural ... See more keywords