A5047646563- Medical Imaging and Analysis
- Dental Radiography and Imaging
- Forensic Anthropology and Bioarchaeology Studies
- Radiomics and Machine Learning in Medical Imaging
- Thyroid Cancer Diagnosis and Treatment
- AI in cancer detection
Southeast University
2022-2023
Accurate and robust anatomical landmark localization is a mandatory crucial step in deformation diagnosis treatment planning for patients with craniomaxillofacial (CMF) malformations. In this paper, we propose trainable end-to-end cephalometric framework on Cone-beam computed tomography (CBCT) scans, referred to as CMF-Net, which combines the appearance transformers, geometric constraint, adaptive wing (AWing) loss. More precisely: (1) decompose task into two branches: branch integrates...
Accurate and robust cephalometric image analysis plays an essential role in orthodontic diagnosis, treatment assessment surgical planning. This paper proposes a novel landmark localization method for using multiscale patch-based graph convolutional networks. In detail, patches with the same size are hierarchically sampled from Gaussian pyramid to well preserve context information. We combine local appearance shape information into spatialized features attention module enrich node...