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We are proud to share that our research and solutions have been recognized among the foremost publications in the scientific fraternity. Our commitment to innovation and cutting-edge research has led to the development of products and solutions that are not only effective but also have a strong scientific basis.

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Synthesizing time-series wound prognosis factors from electronic medical records using generative adversarial networks

Multiclass wound image classification using an ensemble deep CNN-based classifier


Image-Based Artificial Intelligence in Wound Assessment: A Systematic Review


Multi-modal wound classification using wound image and location by deep neural network


A Mobile App for Wound Localization Using Deep Learning


Multiclass Burn Wound Image Classification Using Deep Convolutional Neural Networks


FUSeg: The Foot Ulcer Segmentation Challenge


Machine learning techniques to identify antibiotic resistance in patients diagnosed with various skin and soft tissue infections

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