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Several studies have used artificial intelligence (AI) to analyze cytology images, but AI has yet to be adopted in clinical practice. The objective of this study was to demonstrate the… Click to show full abstract
Several studies have used artificial intelligence (AI) to analyze cytology images, but AI has yet to be adopted in clinical practice. The objective of this study was to demonstrate the accuracy of AI‐based image analysis for thyroid fine‐needle aspiration cytology (FNAC) and to propose its application in clinical practice.
Keywords:
application;
ancillary diagnostic;
application deep;
deep learning;
learning ancillary;
cytology
Journal Title: Cancer Cytopathology
Year Published: 2022
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Journal Title: Cancer Cytopathology
Year Published: 2022
Link to full text (if available)
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recommendations!