ArticleFrontiers in oncology2022
Circulating Tumor Cell Identification Based on Deep Learning.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
25 citing papers in PubMed, 39 citations in OpenAlex.
- Electrochemical Biosensors for Circulating Tumor Cells and ctDNA: Emerging Strategies for Precision Oncology.Annals of biomedical engineering · 2026Review
- Circulating tumour cells for guiding antibody‒drug conjugate therapy: Role of artificial intelligence.Clinical and translational medicine · 2026Review
- Liquid Biopsy in Colorectal Cancer: Future Perspectives Through the Lens of Artificial Intelligence-A Comprehensive Review of Novel Literature.International journal of molecular sciences · 2026Review
- Artificial intelligence-powered liquid biopsy in cancer: a paradigm shift in cancer detection and personalized care.Cancer cell international · 2026Review
- Biomimetic Membrane Interface Technologies for Detection and Isolation of CTCs and EVs: Advances and Opportunities in Liquid Biopsy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Cell surface vimentin-positive circulating tumor cells: developments, and clinical applications.Medical oncology (Northwood, London, England) · 2025Review
- CACs Recognition of FISH Images Based on Adaptive Mean Teacher Semi-supervised Learning with Domain-Knowledge Pseudo Label.Journal of imaging informatics in medicine · 2025Article
- A dual-branch deep learning network for circulating tumor cells classification.Journal of translational medicine · 2025Article
- CTCNet: a fine-grained classification network for fluorescence images of circulating tumor cells.Medical & biological engineering & computing · 2025Article
- Review
- Lessons (to be) learned from liquid biopsies: assessment of circulating cells and cell-free DNA in cancer and pregnancy-acquired microchimerism.Seminars in immunopathology · 2025Review
- Liquid biopsy in hepatocellular carcinoma: Challenges, advances, and clinical implications.Clinical and molecular hepatology · 2025Review
- The development and applications of circulating tumour cells, circulating tumour DNA and other emerging biomarkers for early cancer detection.Exploration of targeted anti-tumor therapy · 2025Review
- Improving Circulating Tumor Cell Detection Using Image Synthesis and Transformer Models in Cancer Diagnostics.Sensors (Basel, Switzerland) · 2024Article
- Quantitative image analysis pipeline for detecting circulating hybrid cells in immunofluorescence images with human-level accuracy.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2024Article
- Advancements in Circulating Tumor Cell Research: Bridging Biology and Clinical Applications.Cancers · 2024Review
- Label-free tumor cells classification using deep learning and high-content imaging.Scientific data · 2023Article
- A Lightweight and Robust Framework for Circulating Genetically Abnormal Cells (CACs) Identification Using 4-Color Fluorescence In Situ Hybridization (FISH) Image and Deep Refined Learning.Journal of digital imaging · 2023Article
- The use of an artificial intelligence algorithm for circulating tumor cell detection in patients with esophageal cancer.Oncology letters · 2023Article
- Label-free liquid biopsy through the identification of tumor cells by machine learning-powered tomographic phase imaging flow cytometry.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As a major reason for tumor metastasis, circulating tumor cell (CTC) is one of the critical biomarkers for cancer diagnosis and prognosis. On the one hand, CTC count is closely related to the prognosis of tumor patients; on the other hand, as a simple blood test with the advantages of safety, low cost and repeatability, CTC test has an important reference value in determining clinical results and studying the mechanism of drug resistance. However, the determination of CTC usually requires a big effort from pathologist and is also error-prone due to inexperience and fatigue. In this study, we developed a novel convolutional neural network (CNN) method to automatically detect CTCs in patients' peripheral blood based on immunofluorescence
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.