2023
DOI: 10.1063/5.0141730
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Label free identification of different cancer cells using deep learning-based image analysis

Abstract: Cancer diagnostics is an important field of cancer recovery and survival with many expensive procedures needed to administer the correct treatment. Machine Learning (ML) approaches can help with the diagnostic prediction from circulating tumor cells in liquid biopsy or from a primary tumor in solid biopsy. After predicting the metastatic potential from a deep learning model, doctors in a clinical setting can administer a safe and correct treatment for a specific patient. This paper investigates the use of deep… Show more

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Cited by 2 publications
(1 citation statement)
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“…This occurs when the expected class is yes and the actual class is no. For example, if the actual class indicates that this patient did not survive, the forecasting class indicates that this patient will [28][29][30][31][32][33].…”
Section: False Positive (Fp)mentioning
confidence: 99%
“…This occurs when the expected class is yes and the actual class is no. For example, if the actual class indicates that this patient did not survive, the forecasting class indicates that this patient will [28][29][30][31][32][33].…”
Section: False Positive (Fp)mentioning
confidence: 99%