Regenerative Semi-Supervised Bidirectional W-Network-Based Knee Bone Tumor Classification on Radiographs Guided by Three-Region Bone Segmentation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2949125
Abstract: The objective of this study is to develop and evaluate a new deep learning architecture, namely regenerative semi-supervised bidirectional W-network (RSS-BW), to predict the tumor state of the knee bone from radiographic images. First, we… read more here.
Keywords: tumor classification; knee bone; bone tumor; classification ... See more keywords
Clinical Study on Systemic Lupus Erythematosus Complicated with Knee Bone Infarction
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Clinical Practice"
DOI: 10.1155/2022/7025811
Abstract: Objective The present study aims to (1) analyze the clinical characteristics and related influencing factors of knee bone infarction in systemic lupus erythematosus (SLE) and (2) improve the understanding of SLE complicated with knee bone… read more here.
Keywords: knee bone; complicated knee; bone infarction;
Fully Automatic Knee Bone Detection and Segmentation on Three-Dimensional MRI
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12010123
Abstract: In the medical sector, three-dimensional (3D) images are commonly used like computed tomography (CT) and magnetic resonance imaging (MRI). The 3D MRI is a non-invasive method of studying the soft-tissue structures in a knee joint… read more here.
Keywords: bone; knee bone; mri; three dimensional ... See more keywords