Efficient skin lesion segmentation with boundary distillation

Medical image segmentation models are commonly known for their complex structures, which often render them impractical for use on edge computing devices and compromising efficiency in the segmentation process. In light of this, the industry has proposed the adoption of knowledge distillation techniq...

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Veröffentlicht in:	Medical & biological engineering & computing 2024-09, Vol.62 (9), p.2703-2716
Hauptverfasser:	Zhang, Zaifang, Lu, Boyang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bioengineering Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Computer Applications data collection Deep learning Dermoscopy - methods Distillation domain Edge computing Efficiency Engineering Feature recognition Human Physiology Humans image analysis Image enhancement Image Interpretation, Computer-Assisted - methods Image processing Image Processing, Computer-Assisted - methods Image segmentation Imaging industry Knowledge Knowledge management Lesions Machine learning Medical imaging Medical research Melanoma Methods Modules Neural networks Original Article Radiology Semantics Skin - diagnostic imaging Skin - pathology Skin cancer Skin diseases Skin lesions Skin Neoplasms - diagnostic imaging Task complexity teachers
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