ArticleNature communications2019
Democratized image analytics by visual programming through integration of deep models and small-scale machine learning.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed.
- Visual analytics framework for survival analysis and biomarker discovery from gene expression data.PloS one · 2026Article
- Geometrical constraints dictate assembly and phenotype of human iPSC-derived motoneuronal spheroids.Stem cell research & therapy · 2025Article
- Comparative Evaluation of the Effectiveness and Efficiency of Computational Methods in the Detection of Asbestos Cement in Hyperspectral Images.Materials (Basel, Switzerland) · 2025Article
- Prediction of ipsilateral and contralateral pneumothorax using a simple chest X-ray.Journal of thoracic disease · 2025Article
- A state-of-the-art review of diffusion model applications for microscopic image and micro-alike image analysis.Frontiers in medicine · 2025Review
- Morphological profiling for drug discovery in the era of deep learning.Briefings in bioinformatics · 2024Review
- Evaluation of Monolayer and Bilayer Buccal Films Containing Metoclopramide.Pharmaceutics · 2024Article
- Integrating Machine Learning and Color Chemistry: Developing a High-School Curriculum toward Real-World Problem-Solving.Journal of chemical education · 2024Article
- Article
- AI-Based Optimal Treatment Strategy Selection for Female Infertility for First and Subsequent IVF-ET Cycles.Journal of medical systems · 2023Article
- Formulation and Characterization of Buccal Films Containing Valsartan with Additional Support from Image Analysis.AAPS PharmSciTech · 2023Article
- High-throughput precision MRI assessment with integrated stack-ensemble deep learning can enhance the preoperative prediction of prostate cancer Gleason grade.British journal of cancer · 2023Article
- Color-Coding Method Reveals Enhancement of Stereotypic Locomotion by Phenazepam in Rat Open Field Test.Brain sciences · 2023Article
- PD-L1 translocation to the plasma membrane enables tumor immune evasion through MIB2 ubiquitination.The Journal of clinical investigation · 2023Article
- Identifying hepatocellular carcinoma patients with survival benefits from surgery combined with chemotherapy: based on machine learning model.World journal of surgical oncology · 2022Article
- Advanced Image Analysis Methods for Automated Segmentation of Subnuclear Chromatin Domains.Epigenomes · 2022Article
- Table2Vec-automated universal representation learning of enterprise data DNA for benchmarkable and explainable enterprise data science.Scientific reports · 2021Article
- Article
- Synthetic heparan sulfate standards and machine learning facilitate the development of solid-state nanopore analysis.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Hands-on training about overfitting.PLoS computational biology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors.
Funding
Abstract
Analysis of biomedical images requires computational expertize that are uncommon among biomedical scientists. Deep learning approaches for image analysis provide an opportunity to develop user-friendly tools for exploratory data analysis. Here, we use the visual programming toolbox Orange ( http://orange.biolab.si ) to simplify image analysis by integrating deep-learning embedding, machine learning procedures, and data visualization. Orange supports the construction of data analysis workflows by assembling components for data preprocessing, visualization, and modeling. We equipped Orange with components that use pre-trained deep convolutional networks to profile images with vectors of features. These vectors are used in image clustering and classification in a framework that enables mining of image sets for both novel and experienced users. We demonstrate the utility of the tool in image analysis of progenitor cells in mouse bone healing, identification of developmental competence in mouse oocytes, subcellular protein localization in yeast, and developmental morphology of social amoebae.
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.