Previously submitted to: JMIR Research Protocols (no longer under consideration since Apr 16, 2025)
Date Submitted: Oct 16, 2023
Open Peer Review Period: Oct 16, 2023 - Dec 11, 2023
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A Durable and Accurate Cellular Based Artificial Intelligent Endometrial Cancer Auxiliary Diagnostic System: A protocol
ABSTRACT
The incidence of endometrial cancer is increasing. Histopathology is the gold standard for diagnosis, but the procedure of dilatation and curettage is invasive and uncomfortable. Cytological sampling is less invasive, and cytopathology can be used accessorily. Nevertheless, cytopathology of endometrial lesions is not easily diagnosed, and cytopathologists are not enough. This protocol provides an auxiliary diagnostic system based on cytopathology. When cytological sampling and automatic slides making are finished, diagnoses are given after recognition from a system based on the convolutional neural network algorithm.
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