On the public citation graph
Mathematical algorithm for the automatic recognition of intestinal parasites
0 signed · 47 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/0035-9203(92)90215-xopenalex-snapshot
Intestinal parasitic infections: a soluble public health problem
inferredcites →https://doi.org/10.1016/j.compbiomed.2014.05.012openalex-snapshot
Cascaded-Automatic Segmentation for Schistosoma japonicum eggs in images of fecal samples
inferredcites →https://doi.org/10.1016/j.compmedimag.2009.07.008openalex-snapshot
A protozoan parasite extraction scheme for digital microscopic images
inferredcites →https://doi.org/10.1016/j.eswa.2007.07.020openalex-snapshot
A robust technique based on invariant moments – ANFIS for recognition of human parasite eggs in microscopic images
inferredcites →https://doi.org/10.1016/j.eswa.2007.09.012openalex-snapshot
An expert diagnosis system for classification of human parasite eggs based on multi-class SVM
inferredcites →https://doi.org/10.1016/j.patcog.2006.12.006openalex-snapshot
Biological shape characterization for automatic image recognition and diagnosis of protozoan parasites of the genus Eimeria
inferredcites →https://doi.org/10.1016/s0304-4017(98)00246-5openalex-snapshot
Differentiation of porcine Eimeria spp. by morphologic algorithms
inferredcites →https://doi.org/10.1017/s0022149x00015303openalex-snapshot
Digital image analysis and identification of eggs from bovine parasitic nematodes
inferredcites →https://doi.org/10.1109/10.923789openalex-snapshot
Automatic identification of human helminth eggs on microscopic fecal specimens using digital image processing and an artificial neural network
inferredcites →https://doi.org/10.1109/icdsp.2002.1028280openalex-snapshot
Shape description by image foresting transform
inferredcites →https://doi.org/10.1371/journal.pone.0082809openalex-snapshot
Morphological Characterization of Mycobacterium tuberculosis in a MODS Culture for an Automatic Diagnostics through Pattern Recognition
inferredcites →https://doi.org/10.5539/mas.v7n5p98openalex-snapshot
Automated System for Diagnosis Intestinal Parasites by Computerized Image Analysis
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4759366openalex-extracted
Parasitic Egg Detection and Classification: A Systematic Review
inferred← citeshttps://doi.org/10.1007/978-3-030-18616-6_14openalex-snapshot
Diagnosis of Human Trematode Infections
inferred← citeshttps://doi.org/10.1007/978-3-031-60121-7_14openalex-snapshot
Diagnosis of Human Trematode Infections
inferred← citeshttps://doi.org/10.1007/s11082-023-05770-0openalex-snapshot
RETRACTED ARTICLE: Artificial intelligence recruitment text automatic generation based on light detection and improved neural network algorithm
inferred← citeshttps://doi.org/10.1007/s12652-025-04993-1openalex-snapshot
Artificial intelligence in intestinal parasitic egg study: a comprehensive review of methods and trends
inferred← citeshttps://doi.org/10.1007/s42452-024-05941-yopenalex-snapshot
Improving faster R-CNN generalization for intestinal parasite detection using cycle-GAN based data augmentation
inferred← citeshttps://doi.org/10.1007/s42979-024-02709-4openalex-snapshot
Segmentation Approaches of Parasite Eggs in Microscopic Images: A Survey
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2020.103917openalex-snapshot
Automated diagnosis of intestinal parasites: A new hybrid approach and its benefits
inferred← citeshttps://doi.org/10.1016/j.ibmed.2025.100212openalex-snapshot
Comparative analysis of resource-efficient YOLO models for rapid and accurate recognition of intestinal parasitic eggs in stool microscopy
inferred← citeshttps://doi.org/10.1016/j.imu.2018.10.007openalex-snapshot
A neuro-fuzzy system for automated detection and classification of human intestinal parasites
inferred← citeshttps://doi.org/10.1016/j.jmii.2021.07.014openalex-snapshot
Helminth egg analysis platform (HEAP): An opened platform for microscopic helminth egg identification and quantification based on the integration of deep learning architectures
inferred← citeshttps://doi.org/10.1016/j.parepi.2026.e00545openalex-snapshot
Automated detection and classification of intestinal protozoan cysts using a nuclei structure-based deep learning framework for epidemiological surveillance
inferred← citeshttps://doi.org/10.1017/s0031182022001664openalex-snapshot
A review on innovative optical devices for the diagnosis of human soil-transmitted helminthiasis and schistosomiasis: from research and development to commercialization
inferred← citeshttps://doi.org/10.1017/s1431927621012903openalex-snapshot
Development of New Staining Procedures for DiagnosingCryptosporidiumspp. in Fecal Samples by Computerized Image Analysis
inferred← citeshttps://doi.org/10.1038/s41598-023-41711-3openalex-snapshot
Parasitic egg recognition using convolution and attention network
inferred← citeshttps://doi.org/10.1038/s41598-025-02755-9openalex-snapshot
Deep learning-based automated detection and multiclass classification of soil-transmitted helminths and Schistosoma mansoni eggs in fecal smear images
inferred← citeshttps://doi.org/10.1145/3310986.3311014openalex-snapshot
Parasite worm egg automatic detection in microscopy stool image based on Faster R-CNN
inferred← citeshttps://doi.org/10.1186/s13071-023-05890-2openalex-snapshot
Comparison of Mini-FLOTAC, Flukefinder® and sedimentation techniques for detection and quantification of Fasciola hepatica and Calicophoron daubneyi eggs using spiked and naturally infected bovine faecal samples
inferred← citeshttps://doi.org/10.1186/s13071-024-06525-wopenalex-snapshot
Validation of Vetscan Imagyst®, a diagnostic test utilizing an artificial intelligence deep learning algorithm, for detecting strongyles and Parascaris spp. in equine fecal samples
inferred← citeshttps://doi.org/10.1371/journal.pntd.0009677openalex-snapshot
Mobile microscopy and telemedicine platform assisted by deep learning for the quantification of Trichuris trichiura infection
inferred← citeshttps://doi.org/10.1371/journal.pntd.0013234openalex-snapshot
Detecting soil-transmitted helminth and Schistosoma mansoni eggs in Kato-Katz stool smear microscopy images: A comprehensive in- and out-of-distribution evaluation of YOLOv7 variants
inferred← citeshttps://doi.org/10.1590/0037-8682-0535-2019openalex-snapshot
A historical review of the techniques of recovery of parasites for their detection in human stools
inferred← citeshttps://doi.org/10.18821/1560-9529-2018-23-3-149-152openalex-snapshot
INTESTINAL NEMATODAE INFECTIONS: ALGORITHM OF DIAGNOSIS AND TREATMENT. ANALYSIS OF CASES AND REVIEW
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4050257/v1openalex-snapshot
Cycle-GAN based Data Augmentation to improve Faster-RCNN Generalizability to Detect Intestinal Parasites from Microscopy images
inferred← citeshttps://doi.org/10.3389/fvets.2021.715406openalex-snapshot
Automated Diagnostics: Advances in the Diagnosis of Intestinal Parasitic Infections in Humans and Animals
inferred← citeshttps://doi.org/10.3390/pathogens9020139openalex-snapshot
Automated Diagnosis of Canine Gastrointestinal Parasites Using Image Analysis
inferred← citeshttps://doi.org/10.4018/ijsda.302631openalex-snapshot
Primary Mobile Image Analysis of Human Intestinal Worm Detection
inferred← citeshttps://doi.org/10.4155/bio-2023-0193openalex-snapshot
A High-Speed Microscopy System Based on Deep Learning to Detect Yeast-Like Fungi Cells in Blood
inferred← citeshttps://doi.org/10.4269/ajtmh.19-0915openalex-snapshot
Prevalence of Intestinal Parasites in a Low-Income Texas Community
inferred← citeshttps://doi.org/10.47749/t/unicamp.2021.1235869openalex-snapshot
Desenvolvimento de programa computacional para o diagnóstico de ovos de Schistosoma mansoni por meio do uso técnica parasitológica de TF-Test Quantified
inferred← citeshttps://doi.org/10.5812/zjrms.11633openalex-snapshot
Prevalence of Intestinal Parasite Infections among Children in the Day Care Centers of Gonbad-e Kavus County, North-Eastern Iran
inferred← citeshttps://doi.org/10.67704/oed.2026.250001openalex-snapshot
Optical sensing-based cytological image analysis enhanced with artificial intelligence: a review
inferred← citeshttps://doi.org/10.7717/peerj-cs.1065openalex-snapshot
Automatic recognition of parasitic products in stool examination using object detection approach
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.