Xin Wang

ORCID: 0000-0003-3592-0344
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About
Contact & Profiles
Research Areas
  • Radiomics and Machine Learning in Medical Imaging
  • Medical Imaging and Analysis
  • Anatomy and Medical Technology
  • Advanced Radiotherapy Techniques
  • Augmented Reality Applications
  • Surgical Simulation and Training

Sichuan University
2023

West China Hospital of Sichuan University
2023

Delineation of the clinical target volume (CTV) and organs-at-risk (OARs) is important in cervical cancer radiotherapy. But it generally labor-intensive, time-consuming, subjective. This paper proposes a parallel-path attention fusion network (PPAF-net) to overcome these disadvantages delineation task.The PPAF-net utilizes both texture structure information CTV OARs by employing U-Net capture high-level information, an up-sampling down-sampling (USDS) low-level accentuate boundaries OARs....

10.1002/mp.16468 article EN Medical Physics 2023-05-29

Accurate and robust segmentation of surgical instrument parts is urgently required by AI enhanced intelligent surgery automatic skill evaluation. However, it still a challenging problem due to the multiple small areas frontal clasper wrist parts, complicated object occlusion light variation issues. Increasing high quality labeled data effective improve performance but labor-costing. A novel augmentation method proposed generate training through planar replacement orientation adjustment....

10.1145/3635638.3635660 article EN 2023-10-27
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