Medical images play a fundamental role in disease screening, and automated evaluation of these images is widely preferred in hospitals. Recently, Convolutional Neural Network (CNN) supported medical data assessment is ...

The results obtained using the object-based image analysis approach for remote sensing image analysis depend strongly on the quality of the segmentation step. In this paper, to optimize the scale parameter in a multiresolution ...

Vegetation segmentation in high resolution images acquired by unmanned aerial vehicles (UAVs) is a challenging task that requires methods capable of learning high-level features while dealing with fine-grained data. In ...

Vegetation segmentation in high resolution images acquired by unmanned aerial vehicles (UAVs) is a challenging task that requires methods capable of learning high-level features while dealing with fine-grained data. In ...

Histological images analysis is an important procedure to diagnose different types of cancer. One of them is the chronic lymphocytic leukemia (CLL), which can be identified by applying image segmentation techniques. This ...

W-operators are nonlinear image operators that are translation invariant and locally defined inside a finite spatial window. In this work, we consider the problem of automatic design of W-operators for the segmentation of ...

The document evaluates the presence of segmentation in the Argentinean labour market. The analysis is centred on the comparison of the earnings of formal and informal workers. Two different approaches to the definition of ...

For all the agreement regarding the segmented character of Latin America's social policy, few studies define it clearly, let alone suggest exact ways to measure it. This article provides a more precise definition based on ...

For all the agreement regarding the segmented character of Latin America's social policy, few studies define it clearly, let alone suggest exact ways to measure it. This article provides a more precise definition based on ...