no code implementations • 23 Nov 2022 • Syed Muhammad Anwar, Abhijeet Parida, Sara Atito, Muhammad Awais, Gustavo Nino, Josef Kitler, Marius George Linguraru
However, the traditional diagnostic tool design methods based on supervised learning are burdened by the need to provide training data annotation, which should be of good quality for better clinical outcomes.
Ranked #1 on Semantic Segmentation on Montgomery County X-ray Set
no code implementations • 11 Jul 2018 • Awais Mansoor, Juan J. Cerrolaza, Geovanny Perez, Elijah Biggs, Kazunori Okada, Gustavo Nino, Marius George Linguraru
The main contributions of our work are: (1) a generic lung field segmentation framework from CXR accommodating large shape variation for adult and pediatric cohorts; (2) a deep representation learning detection mechanism, \emph{ensemble space learning}, for robust object localization; and (3) \emph{marginal shape deep learning} for the shape deformation parameter estimation.