Deep learning approach based on superpixel segmentation assisted labeling for automatic pressure ulcer diagnosis.

ABSTRACT: A pressure ulcer is an injury of the skin and underlying tissues adjacent to a bony eminence. Patients who suffer from this disease may have difficulty accessing medical care. Recently, the COVID-19 pandemic has exacerbated this situation. Automatic diagnosis based on machine learning (ML) brings promising solutions. Traditional ML requires complicated preprocessing steps for feature extraction. Its clinical applications are thus limited to particular datasets. Deep learning (DL), which extracts features from convolution layers, can embrace larger datasets that might be deliberately excluded in traditional algorithms. However, DL requires large sets of domain specific labeled data for training. Labeling various tissues of pressure ulcers is a challenge even for experienced plastic surgeons

SUBMITTER: Chang CW 

PROVIDER: S-EPMC8853507 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature