Titlebook: Computational Methods and Clinical Applications in Musculoskeletal Imaging; 6th International Wo Toma? Vrtovec,Jianhua Yao,Jose M. Pozo Con

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摘要

博愛家

Bone Adaptation as Level Set Motion,n fracture risk. Computational modeling of bone adaptation may provide insight into mitigating aging and preventing disease. In this paper, the adaptation of bone is modeled as a curve evolution problem. Curves can be evolved according to the level set method. The level set method models basic bone

Substance

Landmark Localisation in Radiographs Using Weighted Heatmap Displacement Voting,sponse (“heatmap”) around each target point is known to be effective for this task. We show that better results can be obtained by training a CNN to predict the offset to the target point at every location, then using these predictions to vote for the point position. We show the advantages of the ap

粗語

Perthes Disease Classification Using Shape and Appearance Modelling,ease and healthy. Legg-Calvé-Perthes disease affects the femoral head with avascular necrosis, which causes large shape deformities during the growth-stage of the child. Further, the dead or dying bone of the femoral head is prominent visually in radiographic images, leading to a distinction between

館長

Deep Learning Based Rib Centerline Extraction and Labeling,gist to efficiently inspect all 24 ribs in a computed tomography (CT) volume. In this paper, we combine a deep learning-based rib detection with a dedicated centerline extraction algorithm applied to the detection result for the purpose of fast, robust and accurate rib centerline extraction and labe