Fully Automated 3D Segmentation of MR-Imaged Calf Muscle Compartments: Neighborhood Relationship Enhanced Fully Convolutional Network

no code implementations • 21 Jun 2020 • Zhihui Guo, Honghai Zhang, Zhi Chen, Ellen van der Plas, Laurie Gutmann, Daniel Thedens, Peggy Nopoulos, Milan Sonka

Automated segmentation of individual calf muscle compartments from 3D magnetic resonance (MR) images is essential for developing quantitative biomarkers for muscular disease progression and its prediction.

Edge Detection Image Segmentation +1

Learning-Based Cost Functions for 3D and 4D Multi-Surface Multi-Object Segmentation of Knee MRI: Data from the Osteoarthritis Initiative

no code implementations • 10 Mar 2019 • Satyananda Kashyap, Honghai Zhang, Karan Rao, Milan Sonka

4D LOGISMOS validation on 108 MRIs from baseline and 12 month follow-up scans of 54 patients showed a significant reduction in segmentation errors (\emph{p}$<$0. 01) compared to 3D.

Image Segmentation MRI segmentation +2

Just-Enough Interaction Approach to Knee MRI Segmentation: Data from the Osteoarthritis Initiative

no code implementations • 10 Mar 2019 • Satyananda Kashyap, Honghai Zhang, Milan Sonka

State-of-the-art automated segmentation algorithms are not 100\% accurate especially when segmenting difficult to interpret datasets like those with severe osteoarthritis (OA).

MRI segmentation Segmentation

Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative

no code implementations • 10 Mar 2019 • Satyananda Kashyap, Ipek Oguz, Honghai Zhang, Milan Sonka

We present a fully automated learning-based approach for segmenting knee cartilage in the presence of osteoarthritis (OA).

Segmentation