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Automatic Meniscus Segmentation Using Adversarial Learning-Based Segmentation Network with Object-Aware Map in Knee MR Images
Meniscus segmentation from knee MR images is an essential step when analyzing the length, width, height, cross-sectional area, surface area for meniscus allograft transplantation using a 3D reconstruction model based on the patient’s normal meniscus. In this paper, we propose a two-stage DCNN that c...
Autores principales: | Jeon, Uju, Kim, Hyeonjin, Hong, Helen, Wang, Joonho |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472118/ https://www.ncbi.nlm.nih.gov/pubmed/34573953 http://dx.doi.org/10.3390/diagnostics11091612 |
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