Automatic pterygopalatine fossa segmentation and localisation based on DenseASPP.

Journal: The international journal of medical robotics + computer assisted surgery : MRCAS

PMID: 38654571

Abstract

BACKGROUND: Allergic rhinitis constitutes a widespread health concern, with traditional treatments often proving to be painful and ineffective. Acupuncture targeting the pterygopalatine fossa proves effective but is complicated due to the intricate nearby anatomy.

Authors

Bing Wang

Computer Science & Engineering Department at the University of Connecticut.
Weili Shi

Changchun University of Science and Technology, School of Computer Science and Technology, WeiXing Road, Changchun 130022, China.

Keywords

Algorithms Deep Learning Humans Image Processing, Computer-Assisted Imaging, Three-Dimensional Pterygopalatine Fossa Reproducibility of Results Rhinitis, Allergic Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (38654571)

Automatic pterygopalatine fossa segmentation and localisation based on DenseASPP.

Abstract

Authors

Keywords

External Resources

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