NITHISARN, Graziano. Artificial Intelligence Techniques for Early Detection and Segmentation of Diabetic Foot Ulcer Risk Zones Using a Cycle-Consistent Adversarial Adaptation Network from Multimodal Images: Trends and Challenges. International Journal of Electrical, Electronics and Computer Systems, [S. l.], v. 12, n. 2, p. 31–37, 2023. DOI: 10.65521/ijeecs.v12i2.2642. Disponível em: https://journals.mriindia.com/index.php/ijeecs/article/view/2642. Acesso em: 23 jun. 2026.