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Special Section Guest Editorial: Special Section on Quality Control by Artificial Vision: Nonconventional Imaging Systems.

, and . J. Electronic Imaging, 24 (6): 061101 (2015)

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Special Section Guest Editorial: Special Section on Quality Control by Artificial Vision: Nonconventional Imaging Systems., and . J. Electronic Imaging, 24 (6): 061101 (2015)Tackling the Problem of Data Imbalancing for Melanoma Classification., , , , , , and . BIOIMAGING, page 32-39. SciTePress, (2016)Tackling the Problem of Data Imbalancing for Melanoma Classification., , , , , , and . BIOIMAGING, page 32-39. SciTePress, (2016)Classification of melanoma lesions using sparse coded features and random forests., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97850C. SPIE, (2016)Adaptive Feature Selection for Object Tracking with Particle Filter., , , and . ICIAR (2), volume 8815 of Lecture Notes in Computer Science, page 395-402. Springer, (2014)Discrimination of retinal images containing bright lesions using sparse coded features and SVM., , and . Comput. Biol. Medicine, (2015)Retinal Fundus Multi-Disease Image Dataset (RFMiD): A Dataset for Multi-Disease Detection Research., , , , , , , , and . Data, 6 (2): 14 (2021)Joint network for specular highlight detection and adversarial generation of specular-free images trained with polarimetric data., , , , and . Neurocomputing, (November 2023)Multimodal Polarimetric And Color Fusion For Road Scene Analysis In Adverse Weather Conditions., , , and . ICIP, page 3338-3342. IEEE, (2021)A 3D deep learning approach based on Shape Prior for automatic segmentation of myocardial diseases., , , , , and . IPTA, page 1-6. IEEE, (2020)