Automated segmentation of brain metastases in T1-weighted contrast-enhanced MR images pre and post stereotactic radiosurgery

Abstract Background and purpose Accurate segmentation of brain metastases on Magnetic Resonance Imaging (MRI) is tedious and time-consuming for radiologists that could be optimized with deep learning (DL).Previous studies assessed several DL algorithms focusing only on training and testing the models on the planning MRI only.The purpose of this stu

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Urbanism, resettlement of the population and adequate housing: challenges for the defense of human rights in the territories

The accelerated growth of urbanization has changed the urban logic, opening up possibilities for thousands of people who reach the big metropolis in order to access goods and services.However, the rise of economic development in the country, characterized by concentrating income and power, are incorporated city models that tend to segregate, exclud

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Observation of heat pumping effect by radiative shuttling

Abstract Heat shuttling phenomenon is characterized by the presence of a non-zero heat flow between two bodies without net thermal bias on average.It was initially predicted in the context of nonlinear heat conduction within atomic lattices coupled to two Massage Oil time-oscillating thermostats.Recent theoretical works revealed an analog of this e

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