Titlebook: Intelligent Computing Systems; Third International Carlos Brito-Loeza,Arturo Espinosa-Romero,Asad Saf Conference proceedings 2020 Springer

hypnogram

Convolutional Neural Network U-Net for Trypanosoma cruzi Segmentation,-Net model and we trained it with different loss functions to get accurate results. We report an F2 value of 0.8013, a recall value of 0.8702, a precision value of 0.6304 and a Dice score value of 0.6825.

LOPE