ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2021
AIDeveloper: Deep Learning Image Classification in Life Science and Beyond.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed.
- Automation and improvement of WBC mechanical profiling in deformability cytometry.Biophysical journal · 2026Article
- In Situ Quantization with Memory-Transistor Transfer Unit Based on Electrochemical Random-Access Memory for Edge Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Effects of intravenous lipid emulsions on Jurkat cells assessed using label-free deformability cytometry.Scientific reports · 2025Article
- Use of artificial intelligence in the diagnosis of alterations in cervical cytology: A university population-based observational studyBiomedica : revista del Instituto Nacional de Salud · 2025Observational
- Enhancing cell characterization with microfluidics and AI: a comprehensive review of mechanical, electrical, and hybrid techniques.Biotechnology reports (Amsterdam, Netherlands) · 2025Review
- Multi-omics integration of TPX2 in prognostic prediction in resectable hepatocellular carcinoma.Discover oncology · 2025Article
- Longitudinal associations between depressive symptoms and cell deformability: do glucocorticoids play a role?European archives of psychiatry and clinical neuroscience · 2025Article
- Direct evaluation of antiplatelet therapy in coronary artery disease by comprehensive image-based profiling of circulating platelets.Nature communications · 2025Article
- Technical Aspects of Deploying UAV and Ground Robots for Intelligent Logistics Using YOLO on Embedded Systems.Sensors (Basel, Switzerland) · 2025Article
- A Machine Vision Perspective on Droplet-Based Microfluidics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Development of a machine learning model to predict low vision aid fitting for visually impaired patients.Frontiers in medicine · 2025Article
- Artificial Intelligence-Based Clinical Decision-Making in Erectile Dysfunction: a Narrative Review.Current urology reports · 2024Review
- Deep learning in sex estimation from a peripheral quantitative computed tomography scan of the fourth lumbar vertebra-a proof-of-concept study.Forensic science, medicine, and pathology · 2023Article
- Rapid single-cell physical phenotyping of mechanically dissociated tissue biopsies.Nature biomedical engineering · 2023Article
- Machine learning implementation strategy in imaging and impedance flow cytometry.Biomicrofluidics · 2023Review
- Real-time intelligent classification of COVID-19 and thrombosis via massive image-based analysis of platelet aggregates.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2023Article
- Research on tire crack detection using image deep learning method.Scientific reports · 2023Article
- Depressive disorders are associated with increased peripheral blood cell deformability: a cross-sectional case-control study (Mood-Morph).Translational psychiatry · 2022Article
- Label-free imaging flow cytometry for analysis and sorting of enzymatically dissociated tissues.Scientific reports · 2022Article
- Machine learning assisted real-time deformability cytometry of CD34+ cells allows to identify patients with myelodysplastic syndromes.Scientific 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
7 authors.
Funding
Abstract
Artificial intelligence (AI)-based image analysis has increased drastically in recent years. However, all applications use individual solutions, highly specialized for a particular task. Here, an easy-to-use, adaptable, and open source software, called AIDeveloper (AID) to train neural nets (NN) for image classification without the need for programming is presented. AID provides a variety of NN-architectures, allowing to apply trained models on new data, obtain performance metrics, and export final models to different formats. AID is benchmarked on large image datasets (CIFAR-10 and Fashion-MNIST). Furthermore, models are trained to distinguish areas of differentiated stem cells in images of cell culture. A conventional blood cell count and a blood count obtained using an NN are compared, trained on >1.2 million images, and demonstrated how AID can be used for label-free classification of B- and T-cells. All models are generated by non-programmers on generic computers, allowing for an interdisciplinary use.
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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 Socratic graph.