ArticleBME frontiers2021
Label-Free White Blood Cell Classification Using Refractive Index Tomography and Deep Learning.
Article in BME frontiers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 50 citations in OpenAlex.
- Enhancing classification of rare white blood cells in FPM with a physics-inspired GAN.Scientific reports · 2025Article
- Unstained Blood Smear Analysis: A Review of Rule-Based, Machine Learning, and Deep Learning Techniques.Journal of biophotonics · 2025Review
- Lightweight and precise cell classification based on holographic tomography-derived refractive index point cloud.Journal of biomedical optics · 2025Article
- Gelatin-Based Soft-Tissue Sarcoma Organoids Recapitulate Patient Tumor Characteristics.Biomaterials research · 2025Article
- Bidirectional in-silico clearing approach for deep refractive-index tomography using a sparsely sampled transmission matrix.Biomedical optics express · 2024Article
- Label-free white blood cells classification using a deep feature fusion neural network.Heliyon · 2024Article
- On the use of deep learning for phase recovery.Light, science & applications · 2024Review
- Artificial intelligence-enabled quantitative phase imaging methods for life sciences.Nature methods · 2023Review
- Hybrid machine-learning framework for volumetric segmentation and quantification of vacuoles in individual yeast cells using holotomography.Biomedical optics express · 2023Article
- LED array microscopy system correction method with comprehensive error parameters optimized by phase smoothing criterion.Biomedical optics express · 2023Article
- Deep learning-based label-free hematology analysis framework using optical diffraction tomography.Heliyon · 2023Article
- Machine-learning-based diagnosis of thyroid fine-needle aspiration biopsy synergistically by Papanicolaou staining and refractive index distribution.Scientific reports · 2023Article
- Label-free liquid biopsy through the identification of tumor cells by machine learning-powered tomographic phase imaging flow cytometry.Scientific reports · 2023Article
- A Deep Learning-Based Framework for Uncertainty Quantification in Medical Imaging Using the DropWeak Technique: An Empirical Study with Baresnet.Diagnostics (Basel, Switzerland) · 2023Article
- Label-free hematology analysis method based on defocusing phase-contrast imaging under illumination of 415 nm light.Biomedical optics express · 2022Article
- Rapid species identification of pathogenic bacteria from a minute quantity exploiting three-dimensional quantitative phase imaging and artificial neural network.Light, science & applications · 2022Article
- Virtual Staining, Segmentation, and Classification of Blood Smears for Label-Free Hematology Analysis.BME frontiers · 2022Article
- BCNet: A Novel Network for Blood Cell Classification.Frontiers in cell and developmental 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
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.