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By reducing the amount of required training images and increasing the size of images that can be processed, the new architecture can be used to answer important questions in many research fields.

University of california san franciscoUnited statesNoord brabantJames sethianWiskunde informaticaOlivia jainSimon moCarolyn larabellNational centerComputational research divisionMathematics for energy research applicationsOffice of scienceDepartment of energyScale dense convolution neural networksUniversity of californiaScale dense convolution neural network