Web: http://arxiv.org/abs/2209.09880

Sept. 21, 2022, 1:13 a.m. | Agapi Davradou, Eftychios Protopapadakis, Maria Kaselimi, Anastasios Doulamis, Nikolaos Doulamis

cs.CV updates on arXiv.org arxiv.org

Diabetic foot ulcers (DFUs) constitute a serious complication for people with
diabetes. The care of DFU patients can be substantially improved through
self-management, in order to achieve early-diagnosis, ulcer prevention, and
complications management in existing ulcers. In this paper, we investigate two
categories of image-to-image translation techniques (ItITT), which will support
decision making and monitoring of diabetic foot ulcers: noise reduction and
super-resolution. In the former case, we investigated the capabilities on noise
removal, for convolutional neural network stacked-autoencoders (CNN-SAE). …

arxiv deep learning monitoring noise super resolution

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