Automated Prediction of Photographic Wound Assessment Tool in Chronic Wound Images
Nico Curti,
Yuri Merli,
Corrado Zengarini
et al.
Abstract:Many automated approaches have been proposed in literature to quantify clinically relevant wound features based on image processing analysis, aiming at removing human subjectivity and accelerate clinical practice. In this work we present a fully automated image processing pipeline leveraging deep learning and a large wound segmentation dataset to perform wound detection and following prediction of the Photographic Wound Assessment Tool (PWAT), automatizing the clinical judgement of the adequate wound healing. … Show more
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