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A Pathology-Based Machine Learning Method to Assist in Epithelial Dysplasia Diagnosis
The Epithelial Dysplasia (ED) is a tissue alteration commonly present in lesions preceding oral cancer, being its presence one of the most important factors in the progression toward carcinoma.
Risk-based regulation for all: The need and a method for a wide adoption solution for data-driven inspection targeting
Access to data and data processing, including the use of machine learning techniques, has become significantly easier and cheaper in recent years.
Super-Resolution Reconstruction of Electrical Impedance Tomography Images
Electrical Impedance Tomography (EIT) systems are becoming popular because they present several advantages over competing systems.
Nonlinear unmixing of hyperspectral images: models and algorithms
When considering the problem of unmixing hyperspectral images, most of the literature in the geoscience and image processing areas relies on the widely used linear mixing model (LMM).
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