Visual Cascaded-Progressive Convolutional Neural Network (C-PCNN) for Diagnosis of Meniscus Injury
Objective: The objective of this study is to develop a novel automatic convolutional neural network (CNN) that aids in the diagnosis of meniscus injury, while enabling the visualization of lesion characteristics. This will improve the accuracy and reduce diagnosis times. Methods: We presented a casc...
Main Authors: | Yingkai Ma, Yong Qin, Chen Liang, Xiang Li, Minglei Li, Ren Wang, Jinping Yu, Xiangning Xu, Songcen Lv, Hao Luo, Yuchen Jiang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-06-01
|
Series: | Diagnostics |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4418/13/12/2049 |
Similar Items
-
Two case reports of ring lateral meniscus - A rare anatomical variant
by: K. Santosh Sahanand, et al.
Published: (2022-03-01) -
Accuracy of MRI in Comparison With Arthroscopic Findings in the Diagnosis of Anterior Cruciate Ligament and Meniscus Tears
by: Mahdis Marashi, et al.
Published: (2016-06-01) -
Identification and diagnosis of meniscus tear by magnetic resonance imaging using a deep learning model
by: Jie Li, et al.
Published: (2022-05-01) -
Quantitative evaluation of meniscus injury using synthetic magnetic resonance imaging
by: Lingtao Zhang, et al.
Published: (2024-04-01) -
Meniscus repair and centralization: Preserving meniscus function
by: Nobutake Ozeki, et al.
Published: (2023-12-01)