ArticleContrast media & molecular imaging2021
Deep Learning-Based Magnetic Resonance Imaging Features in Diagnosis of Perianal Abscess and Fistula Formation.
Article in Contrast media & molecular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
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Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Artificial Intelligence Supported Analysis of Anal Sphincter and Levator Ani Muscle Using Medical Imaging Techniques: A Systematic Review.International urogynecology journal · 2026Pooled it
- Current Status and Role of Artificial Intelligence in Anorectal Diseases and Pelvic Floor Disorders.JSLS : Journal of the Society of Laparoendoscopic SurgeonsPooled it
- Artificial intelligence in anal fistula: mapping evidence to IDEAL stages.Annals of coloproctology · 2026Review
- MRI-based radiomics-deep learning model for preoperative pathogen prediction in perianal abscesses.Frontiers in medicine · 2026Article
- Artificial intelligence-assisted detection of internal openings in anal fistulas using endorectal ultrasound: a YOLOv11-based diagnostic system.Translational gastroenterology and hepatology · 2026Article
- Imaging in perianal fistulising Crohn's disease: A practical guide for the gastroenterologist.World journal of gastroenterology · 2025Review
- CVT-HNet: a fusion model for recognizing perianal fistulizing Crohn's disease based on CNN and ViT.BMC medical imaging · 2025Article
- The role of MRI in perianal fistulizing disease: diagnostic imaging and classification systems to monitor disease activity.Abdominal radiology (New York) · 2025Review
- Perceptions and emotions in postoperative recovery of patients with perianal diseases.World journal of psychiatry · 2025Article
- Development and validation of the MRI-based deep learning classifier for distinguishing perianal fistulizing Crohn's disease from cryptoglandular fistula: a multicenter cohort study.EClinicalMedicine · 2024Article
- Diagnostic Value of SAA Levels and Perianal Symptoms in the Complicated Perianal Abscesses Among Mpox-Infected Patients.Journal of inflammation research · 2024Article
- Intervention Effect of Evidence-Based Nursing on Postoperative Recovery of Vacuum Sealing Drainage in Patients with High Perianal Abscess with Magnetic Resonance Imaging Sequence Images.Computational intelligence and neuroscience · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There was an investigation of the diagnostic and prognostic effect of magnetic resonance imaging (MRI) based on multimodal feature fusion algorithm for impotence of perianal abscess. In this study, the second to fifth convolution blocks of the visual geometric group network were applied to extract the depth features in the way of transfer learning, and a multimode feature fusion algorithm was constructed. The whole network was trained by maximizing the energy proportion of the feature layers, which was compared with the fully convolutional neural network (FCN) algorithm. Then, this algorithm was adopted to the imaging diagnosis of 50 patients with anorectal diseases admitted to our hospital, and it was found that the similarity coefficient (85.37%), accuracy (80.02%), and recall rate (79.38%) of the improved deep learning algorithm were higher markedly than those of the FCN algorithm (70.18%, 67.82%, and 66.92%) (
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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 OpenQuestion graph.