Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Albert Swiecicki"'
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract Deep learning has shown tremendous potential in the task of object detection in images. However, a common challenge with this task is when only a limited number of images containing the object of interest are available. This is a particular
Externí odkaz:
https://doaj.org/article/508eb076572e45cab8b174526afb95f2
Autor:
Jichen Yang, Jonathan O'Donnell, Nianyi Li, Maciej A. Mazurowski, Albert Swiecicki, Richard C. Mather, William A. Jiranek, Nicholas Said
A fully-automated deep learning algorithm matched performance of radiologists in assessment of knee osteoarthritis severity in radiographs using the Kellgren-Lawrence grading system. Purpose To develop an automated deep learning-based algorithm that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab34a13f391668f56b1515409cfb34a8
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Deep learning has shown tremendous potential in the task of object detection in images. However, a common challenge with this task is when only a limited number of images containing the object of interest are available. This is a particular issue in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b985569676139d1410372daa49332f4c
https://pubmed.ncbi.nlm.nih.gov/33986361
https://pubmed.ncbi.nlm.nih.gov/33986361
Autor:
Maciej A. Mazurowski, Ruth Walsh, Mateusz Buda, Nianyi Li, Albert Swiecicki, Sujata V. Ghate, Ashirbani Saha
Publikováno v:
Medical Imaging 2020: Computer-Aided Diagnosis.
Deep learning has achieved great success in image analysis and decision making in radiology. However, a large amount of annotated imaging data is needed to construct well-performing deep learning models. A particular challenge in the context of breas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebd86fccf09b0d17202d618712b8c5cd
https://doi.org/10.1117/12.2551379
https://doi.org/10.1117/12.2551379
Autor:
Jonathan O'Donnell, Nianyi Li, Nicholas Said, Mateusz Buda, Albert Swiecicki, William A. Jiranek, Maciej A. Mazurowski
Publikováno v:
Medical Imaging 2020: Computer-Aided Diagnosis.
Evaluating the severity of knee osteoarthritis (OA) accounts for significant plain film workload and is a crucial component of knee radiograph interpretation, which informs surgical decision-making for costly and invasive procedures such as knee repl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb0c9367ed781d0999ae804273162298
https://doi.org/10.1117/12.2551377
https://doi.org/10.1117/12.2551377
Autor:
Nianyi Li, Maciej A. Mazurowski, Albert Swiecicki, William A. Jiranek, Jonathan O'Donnell, Nicholas Said
Publikováno v:
Medical Imaging 2020: Computer-Aided Diagnosis.
Knee osteoarthritis (OA) is a prevalent and disabling degenerative joint disease. Objectively identifying knee OA severity is challenging given significant inter-reader variability due to human interpretation factors. The Kellgren-Lawrence (KL) gradi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a31179108df2528d6e7a74b43eab38bf
https://doi.org/10.1117/12.2551392
https://doi.org/10.1117/12.2551392
Autor:
Ruth Walsh, Joseph Y. Lo, Albert Swiecicki, Mateusz Buda, Nianyi Li, Ashirbani Saha, Maciej A. Mazurowski, Sujata V. Ghate
Publikováno v:
JAMA Network Open
Key Points Question Can a curated, annotated, and publicly available data set of digital breast tomosynthesis (DBT) volumes be created for the development and validation of breast cancer computer-aided detection algorithms? Findings In this diagnosti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9df1de8e15b6164ad7d545fee47d450e
https://doi.org/10.1001/jamanetworkopen.2021.19100
https://doi.org/10.1001/jamanetworkopen.2021.19100