URL: https://github.com/senli2018/DTGCN
Proper Citation: Deep Transfer Graph Convolutional Network (RRID:SCR_020976)
Description: Software tool as novel deep learning approach for multi-stage malaria parasites recognition in blood smear images using deep transfer graph convolutional network. DTGCN model is based on unsupervised learning by transferring knowledge learnt from source images that contain discriminative morphology characteristics of multi stage malaria parasites.
Abbreviations: DTGCN
Resource Type: software application, data analysis software, software resource, data processing software
Keywords: Malaria recognition, microscopic image analysis, knowledge transfer, graph convolutional network, blood smear images
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