IDENTIFYING COLLAPSED BUILDINGS USING POST-EARTHQUAKE SATELLITE IMAGERY AND CONVOLUTIONAL NEURAL NETWORKS: A CASE STUDY OF THE 2010 HAITI EARTHQUAKE

Identifying Collapsed Buildings Using Post-Earthquake Satellite Imagery and Convolutional Neural Networks: A Case Study of the 2010 Haiti Earthquake

Earthquake is one of the most devastating natural disasters that threaten human life.It is vital to retrieve the building damage status for planning rescue and reconstruction after an earthquake.In cases when the number of completely collapsed buildings is far less than intact or less-affected buildings (e.g., the 2010 Haiti earthquake), it is diff

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Reduced tyrosine kinase inhibitor dose is predicted to be as effective as standard dose in chronic myeloid leukemia: a simulation study based on phase III trial data

Continuing tyrosine kinase inhibitor (TKI)-mediated targeting of the BCR-ABL1 oncoprotein is the standard therapy for chronic myeloid leukemia Fender Saddles (CML) and allows for a sustained disease control in the majority of patients.While therapy cessation for patients appeared as a safe option for about half of those patients with optimal respon

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