Using a deep learning neural network for the identification of malignant cells in effusion cytology material

Aim To evaluate the application of an artificial neural network in the detection of malignant cells in effusion samples. Materials and Methods In this retrospective study, we selected 90 cases of effusion cytology samples over 2 years. There were 52 cases of metastatic adenocarcinoma and 38 benign e...

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Veröffentlicht in:	Cytopathology (Oxford) 2023-09, Vol.34 (5), p.466-471
Hauptverfasser:	Sanyal, Parikshit, Dey, Pranab
Format:	Artikel
Sprache:	eng
Schlagworte:	Adenocarcinoma artificial intelligence artificial neural network Cellular biology Cytology deep convolutional neural network Deep learning Effusion Malignancy Metastases Neural networks
Online-Zugang:	Volltext
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