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Sep 26, 2021 · In this report, we present a novel 3-stage detection model for automated identification of Circulating Tumor Cells in multi-channel darkfield microscopic ...
Sep 26, 2021 · In this report, we present a novel 3-stage detection model for automated identification of Circulating Tumor Cells in multi-channel darkfield ...
Sep 26, 2021 · CTCs can be collected by a sampling needle with EpCAM antibody which can specifically bind to tumor cells. After fluorescent staining process, ...
Apr 7, 2023 · We developed a deep-learning-based method to automatically identify tumor cells serving to mimic CTC (mCTC) and CAFs.
Feb 16, 2022 · In this study, we developed a novel convolutional neural network (CNN) method to automatically detect CTCs in patients' peripheral blood based on ...
Mar 14, 2024 · Thus the need arises to automate this detection and enumeration process in a way that facilitates this highly operator-dependent analysis.
May 14, 2024 · In this article, we presented accurate methods for CTC detection using machine learning algorithms based on single-cell sequencing data.
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Apr 5, 2023 · Our custom imaging system combined with deep learning cell identification method represents an important advance on CTC and CAF analysis.
Medical image recognition based on machine learning can effectively reduce the workload and improve the level of automation. So, we use machine learning to ...
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Feb 9, 2024 · A deep-learning algorithm to identify CTC and tdEV for the prediction of survival in patients with metastatic and nonmetastatic cancers.