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Malaria parasite detection with deep transfer learning
(IEEE, 2018-12-06)
This study aims to automatically detect malaria parasites (Plasmodium sp) on images taken from Giemsa stained blood smears. Deep learning methods provide limited performance when sample size is low. In transfer learning, ...
CNN-Based deep learning architecture for electromagnetic imaging of rough surface profiles
(IEEE, 2022-10)
A convolutional neural network (CNN) based deep learning (DL) technique for electromagnetic imaging of rough surfaces separating two dielectric media is presented. The direct scattering problem is formulated through the ...