Data from: Automatic patient-level recognition of four Plasmodium species on thin blood smear by a Real Time Detector Transformer (RT-DETR) object detection algorithm: a proof-of-concept and evaluation

Automatic patient-level recognition of four Plasmodium species on thin blood smear by a Real Time Dectector Transformer (RT-DETR) object detection algorithm: a proof-of-concept and evaluation Emilie Guemas, Baptiste Routier, Théo Ghelfenstein-Ferreira, Camille Cordier, Sophie Hartuis, Bénédicte Mari...

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Bibliographische Detailangaben

Hauptverfasser:	Guemas, Emilie, Routier, Baptiste, Ghelfenstein-Ferreira, Théo, Cordier, Camille, Hartuis, Sophie, Marion, Bénédicte, Bertout, Sébastien, Costa, Damien, Pasquier, Grégoire
Format:	Dataset
Sprache:	eng
Schlagworte:	Artificial intelligence Deep learning diagnosis Machine learning Object detection, YOLO, RT-DETR, diagnosis, thin blood smear Object detection, YOLO, RT-DETR, diagnosis, thin blood smear Plasmodium RT-DETR, diagnosis, thin blood smear thin blood smear YOLO
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