ArticleBiomolecules2020
Deep Learning of Cancer Stem Cell Morphology Using Conditional Generative Adversarial Networks.
Article in Biomolecules, 2020. 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 49 citations in OpenAlex.
- Cancer-associated mitochondrial homeostasis disrupted and retrograde signaling activated.Medical oncology (Northwood, London, England) · 2026Review
- Exploring the role of CaMKII in exercise-induced cardioprotection.Human cell · 2026Review
- Irisin attenuates tubular epithelial ferroptosis in diabetic kidney disease by inhibiting the HMGB1/Nrf2/GPX4 pathway.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Machine Learning in Stem Cell Research: From Biological Data to Clinical Translation.Computational and structural biotechnology journal · 2026Review
- Kaempferol prevents Nrf2 from ubiquitin-mediated proteolysis to mitigate both NLRP3 inflammation and oxidative stress: implications for alleviating DSS-induced colitis in mice.Inflammopharmacology · 2025Article
- Advancing cell therapies with artificial intelligence and synthetic biology.Current opinion in biomedical engineering · 2025Article
- Cancer stem cells in personalized therapy: mechanisms, microenvironment crosstalk, and therapeutic vulnerabilities.Frontiers in cell and developmental biology · 2025Review
- The paradigm shift in neural stem cells basic research driven by artificial intelligence related technologies.Frontiers in cellular neuroscience · 2025Review
- A literature review: machine learning-based stem cell investigation.Annals of translational medicine · 2024Review
- Cancer Stem Cells from Definition to Detection and Targeted Drugs.International journal of molecular sciences · 2024Review
- Exploration of neuroprotective effect from Coriandrum sativum L. ethanolic seeds extracts on brain of obese rats.Scientific reports · 2024Article
- Applications of artificial intelligence in regenerative dentistry: promoting stem cell therapy and the scaffold development.Frontiers in cell and developmental biology · 2024Review
- Glioblastoma pseudoprogression and true progression reveal spatially variable transcriptional differences.Acta neuropathologica communications · 2023Article
- Deep Learning of Phase-Contrast Images of Cancer Stem Cells Using a Selected Dataset of High Accuracy Value Using Conditional Generative Adversarial Networks.International journal of molecular sciences · 2023Article
- Robustness Fine-Tuning Deep Learning Model for Cancers Diagnosis Based on Histopathology Image Analysis.Diagnostics (Basel, Switzerland) · 2023Article
- Deep learning models for cancer stem cell detection: a brief review.Frontiers in immunology · 2023Review
- A review of open-source image analysis tools for mammalian cell culture: algorithms, features and implementations.PeerJ. Computer science · 2023Article
- CardioVinci: building blocks for virtual cardiac cells using deep learning.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
- TNTdetect.AI: A Deep Learning Model for Automated Detection and Counting of Tunneling Nanotubes in Microscopy Images.Cancers · 2022Article
- Sinapic acid ameliorates paracetamol-induced acute liver injury through targeting oxidative stress and inflammation.Molecular biology reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Deep-learning workflows of microscopic image analysis are sufficient for handling the contextual variations because they employ biological samples and have numerous tasks. The use of well-defined annotated images is important for the workflow. Cancer stem cells (CSCs) are identified by specific cell markers. These CSCs were extensively characterized by the stem cell (SC)-like gene expression and proliferation mechanisms for the development of tumors. In contrast, the morphological characterization remains elusive. This study aims to investigate the segmentation of CSCs in phase contrast imaging using conditional generative adversarial networks (CGAN). Artificial intelligence (AI) was trained using fluorescence images of the
Indexed as
Identifiers
What OpenQuestion holds
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.