29 citations · 68 across the 9 of their papers we have counts for
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eess.IV2019
A superpixel-driven deep learning approach for the analysis of dermatological wounds
Gustavo Blanco, Agma J. M. Traina, Caetano Traina +4
Background. The image-based identification of distinct tissues within dermatological wounds enhances patients' care since it requires no intrusive evaluations. This manuscript pres…
eess.IV2019★ 3 cited
3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging
Jonathan S. Ramos, Mirela T. Cazzolato, Bruno S. Faiçal +3
Segmentation of medical images is critical for making several processes of analysis and classification more reliable. With the growing number of people presenting back pain and rel…