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...

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Detalles Bibliográficos
Autores principales: Jeon, Uju, Kim, Hyeonjin, Hong, Helen, Wang, Joonho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

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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