Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation

06/21/2022
by   Dong Liang, et al.
5

The morphological changes in knee cartilage (especially femoral and tibial cartilages) are closely related to the progression of knee osteoarthritis, which is expressed by magnetic resonance (MR) images and assessed on the cartilage segmentation results. Thus, it is necessary to propose an effective automatic cartilage segmentation model for longitudinal research on osteoarthritis. In this research, to relieve the problem of inaccurate discontinuous segmentation caused by the limited receptive field in convolutional neural networks, we proposed a novel position-prior clustering-based self-attention module (PCAM). In PCAM, long-range dependency between each class center and feature point is captured by self-attention allowing contextual information re-allocated to strengthen the relative features and ensure the continuity of segmentation result. The clutsering-based method is used to estimate class centers, which fosters intra-class consistency and further improves the accuracy of segmentation results. The position-prior excludes the false positives from side-output and makes center estimation more precise. Sufficient experiments are conducted on OAI-ZIB dataset. The experimental results show that the segmentation performance of combination of segmentation network and PCAM obtains an evident improvement compared to original model, which proves the potential application of PCAM in medical segmentation tasks. The source code is publicly available from link: https://github.com/LeongDong/PCAMNet

READ FULL TEXT

page 2

page 4

research
04/18/2020

DAPnet: A double self-attention convolutional network for segmentation of point clouds

LiDAR point cloud has a complex structure and the 3D semantic labeling o...
research
09/09/2023

ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation

Transformers have been extensively studied in medical image segmentation...
research
04/28/2023

3D Brainformer: 3D Fusion Transformer for Brain Tumor Segmentation

Magnetic resonance imaging (MRI) is critically important for brain mappi...
research
08/06/2020

Joint Self-Attention and Scale-Aggregation for Self-Calibrated Deraining Network

In the field of multimedia, single image deraining is a basic pre-proces...
research
09/30/2022

Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks

Convolutional Neural Networks have played a significant role in various ...
research
09/06/2023

Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening

Vulvovaginal candidiasis (VVC) is the most prevalent human candidal infe...

Please sign up or login with your details

Forgot password? Click here to reset