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Computerized detection of leukocytes in microscopic leukorrhea images

https://doi.org/10.1002/mp.12381
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/0010-4809(71)90034-6openalex-snapshot
Computer determination of the constituent structure of biological images
inferredcites →https://doi.org/10.1016/j.asoc.2015.12.038openalex-snapshot
Blood smear analyzer for white blood cell counting: A hybrid microscopic image analyzing technique
inferredcites →https://doi.org/10.1016/j.cmpb.2016.07.002openalex-snapshot
A new thresholding technique based on fuzzy set as an application to leukocyte nucleus segmentation
inferredcites →https://doi.org/10.1016/j.patrec.2005.10.010openalex-snapshot
An introduction to ROC analysis
inferredcites →https://doi.org/10.1016/s0167-8655(03)00002-3openalex-snapshot
BAS: a perceptual shape descriptor based on the beam angle statistics
inferredcites →https://doi.org/10.1023/a:1012487302797openalex-snapshot
Gene Selection for Cancer Classification using Support Vector Machines
inferredcites →https://doi.org/10.1093/bioinformatics/btm530openalex-snapshot
Novel cell segmentation and online SVM for cell cycle phase identification in automated microscopy
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/iembs.2011.6091628openalex-snapshot
Features for cells and nuclei classification
inferredcites →https://doi.org/10.1109/inaes.2016.7821942openalex-snapshot
Classification of leukocyte images using K-Means Clustering based on geometry features
inferredcites →https://doi.org/10.1109/ism.2016.0103openalex-snapshot
Unsupervised Leukemia Cells Segmentation Based on Multi-space Color Channels
inferredcites →https://doi.org/10.1109/tassp.1981.1163711openalex-snapshot
Cubic convolution interpolation for digital image processing
inferredcites →https://doi.org/10.1109/tencon.2016.7848161openalex-snapshot
Automatic classification of leukocytes using morphological features and Naïve Bayes classifier
inferredcites →https://doi.org/10.1109/tmi.2015.2458702openalex-snapshot
Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images
inferredcites →https://doi.org/10.1109/tsmc.1979.4310076openalex-snapshot
A Threshold Selection Method from Gray-Level Histograms
inferredcites →https://doi.org/10.1117/1.jbo.20.7.076004openalex-snapshot
Automatic identification of fungi under complex microscopic fecal images
inferredcites →https://doi.org/10.1136/sti.2003.009134openalex-snapshot
Vaginal leucocyte counts in women with bacterial vaginosis: relation to vaginal and cervical infections
inferredcites →https://doi.org/10.1145/1961189.1961199openalex-snapshot
LIBSVM
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/mp.13904openalex-snapshot
Human peripheral blood leukocyte classification method based on convolutional neural network and data augmentation
inferred← citeshttps://doi.org/10.1002/mp.14144openalex-snapshot
Hybrid adversarial‐discriminative network for leukocyte classification in leukemia
inferred← citeshttps://doi.org/10.1002/mp.14352openalex-snapshot
FecalNet: Automated detection of visible components in human feces using deep learning
inferred← citeshttps://doi.org/10.1007/978-3-030-69541-5_39openalex-snapshot
Attention-Based Fine-Grained Classification of Bone Marrow Cells
inferred← citeshttps://doi.org/10.1007/s00203-026-05253-2openalex-snapshot
Modified wet mount staining improves the microscopic diagnosis of Trichomonas vaginalis in vaginal discharge
inferred← citeshttps://doi.org/10.1007/s11517-020-02180-2openalex-snapshot
A computer-assisted human peripheral blood leukocyte image classification method based on Siamese network
inferred← citeshttps://doi.org/10.1007/s12288-026-02318-6openalex-snapshot
MsCapsNet: Multi-Scale Capsule Network for Blood Cell Classification
inferred← citeshttps://doi.org/10.1016/j.bbe.2019.01.005openalex-snapshot
Comparison of traditional image processing and deep learning approaches for classification of white blood cells in peripheral blood smear images
inferred← citeshttps://doi.org/10.1016/j.sajb.2024.01.017openalex-snapshot
Absence of adverse effects of Blutaparon portulacoides (A.St.-Hil.) Mears in mice exposed during pregnancy
inferred← citeshttps://doi.org/10.1038/s41522-021-00261-0openalex-snapshot
Large-scale characterisation of the pregnancy vaginal microbiome and sialidase activity in a low-risk Chinese population
inferred← citeshttps://doi.org/10.1038/s41598-021-89863-4openalex-snapshot
Fast and accurate automated recognition of the dominant cells from fecal images based on Faster R-CNN
inferred← citeshttps://doi.org/10.1042/bsr20182100openalex-snapshot
Automatic classification of cells in microscopic fecal images using convolutional neural networks
inferred← citeshttps://doi.org/10.1093/jmicro/dfab033openalex-snapshot
Morphological components detection for super-depth-of-field bio-micrograph based on deep learning
inferred← citeshttps://doi.org/10.1109/itnec.2019.8729396openalex-snapshot
Automatic Detection of Fungi in Microscopic Leucorrhea Images Based on Convolutional Neural Network and Morphological Method
inferred← citeshttps://doi.org/10.1364/josaa.35.001941openalex-snapshot
Leukocyte recognition in human fecal samples using texture features
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