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HealNet -- Self-Supervised Acute Wound Heal-Stage Classification. (arXiv:2206.10536v2 [cs.CV] UPDATED)
June 24, 2022, 1:12 a.m. | Héctor Carrión, Mohammad Jafari, Hsin-Ya Yang, Roslyn Rivkah Isseroff, Marco Rolandi, Marcella Gomez, Narges Norouzi
cs.CV updates on arXiv.org arxiv.org
Identifying, tracking, and predicting wound heal-stage progression is a
fundamental task towards proper diagnosis, effective treatment, facilitating
healing, and reducing pain. Traditionally, a medical expert might observe a
wound to determine the current healing state and recommend treatment. However,
sourcing experts who can produce such a diagnosis solely from visual indicators
can be difficult, time-consuming and expensive. In addition, lesions may take
several weeks to undergo the healing process, demanding resources to monitor
and diagnose continually. Automating this task can …
More from arxiv.org / cs.CV updates on arXiv.org
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