A Deep Learning Convolutional Neural Network Can Recognize Common Patterns of Injury in Gastric Pathology.

Biopsy / methods Deep Learning Diagnosis, Computer-Assisted / methods Gastritis / diagnosis Helicobacter Infections / diagnosis Helicobacter pylori / physiology Humans Neural Networks, Computer Reproducibility of Results Sensitivity and Specificity Stomach / microbiology Stomach Diseases / diagnosis

Journal

Archives of pathology & laboratory medicine
ISSN: 1543-2165
Titre abrégé: Arch Pathol Lab Med
Pays: United States
ID NLM: 7607091

Informations de publication

Date de publication:
03 2020
Historique:
pubmed: 28 6 2019
medline: 28 7 2020
entrez: 28 6 2019
Statut: ppublish

Résumé

Most deep learning (DL) studies have focused on neoplastic pathology, with the realm of inflammatory pathology remaining largely untouched. To investigate the use of DL for nonneoplastic gastric biopsies. Gold standard diagnoses were blindly established by 2 gastrointestinal pathologists. For phase 1, 300 classic cases (100 normal, 100 For Phase 1, receiver operating curves showed near perfect agreement with the gold standard diagnoses at an AD percentage cutoff of 50% for normal (area under the curve [AUC] = 99.7%) and A convolutional neural network can serve as an effective screening tool/diagnostic aid for

Identifiants

DOI: 10.5858/arpa.2019-0004-OA PMID: 31246112
pubmed: 31246112
doi: 10.5858/arpa.2019-0004-OA
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

370-378

Auteurs

David R Martin (DR)

From the Departments of Pathology (Drs Martin, Hanson, Gullapalli, Sethi, and Clark, and Mr Schultz) and Chemical and Biological Engineering (Dr Gullapalli), University of New Mexico, Albuquerque.

Joshua A Hanson (JA)

From the Departments of Pathology (Drs Martin, Hanson, Gullapalli, Sethi, and Clark, and Mr Schultz) and Chemical and Biological Engineering (Dr Gullapalli), University of New Mexico, Albuquerque.

Rama R Gullapalli (RR)

From the Departments of Pathology (Drs Martin, Hanson, Gullapalli, Sethi, and Clark, and Mr Schultz) and Chemical and Biological Engineering (Dr Gullapalli), University of New Mexico, Albuquerque.

Fred A Schultz (FA)

From the Departments of Pathology (Drs Martin, Hanson, Gullapalli, Sethi, and Clark, and Mr Schultz) and Chemical and Biological Engineering (Dr Gullapalli), University of New Mexico, Albuquerque.

Aisha Sethi (A)

From the Departments of Pathology (Drs Martin, Hanson, Gullapalli, Sethi, and Clark, and Mr Schultz) and Chemical and Biological Engineering (Dr Gullapalli), University of New Mexico, Albuquerque.

Douglas P Clark (DP)

From the Departments of Pathology (Drs Martin, Hanson, Gullapalli, Sethi, and Clark, and Mr Schultz) and Chemical and Biological Engineering (Dr Gullapalli), University of New Mexico, Albuquerque.

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Classifications MeSH

questionsmedicales.fr › Techniques d'investigation › Techniques cytologiques › Cytodiagnostic › Biopsie › A Deep Learning Convolutional Neural Network...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Intelligence artificielle › Réseaux neuronaux (ordinateur) › Apprentissage profond › A Deep Learning Convolutional Neural Network...
questionsmedicales.fr › Sciences de l'information › Informatique › Informatique médicale › Applications de l'informatique médicale › Prise de décision assistée par ordinateur › Diagnostic assisté par ordinateur › A Deep Learning Convolutional Neural Network...
questionsmedicales.fr › Maladies de l'appareil digestif › Maladies gastro-intestinales › Maladies de l'estomac › Gastrite › A Deep Learning Convolutional Neural Network...
questionsmedicales.fr › Infection › Infections bactériennes et mycoses › Infections bactériennes › Infections bactériennes à Gram négatif › Infections à Helicobacter › A Deep Learning Convolutional Neural Network...
questionsmedicales.fr › Bactéries › Proteobacteria › Epsilonproteobacteria › Campylobacterales › Helicobacteraceae › Helicobacter › Helicobacter pylori › A Deep Learning Convolutional Neural Network...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › A Deep Learning Convolutional Neural Network...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Intelligence artificielle › Réseaux neuronaux (ordinateur) › A Deep Learning Convolutional Neural Network...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Méthodologie en recherche épidémiologique › Reproductibilité des résultats › A Deep Learning Convolutional Neural Network...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Sensibilité et spécificité › A Deep Learning Convolutional Neural Network...
questionsmedicales.fr › Système digestif › Tube digestif › Tube digestif supérieur › Estomac › A Deep Learning Convolutional Neural Network...
questionsmedicales.fr › Maladies de l'appareil digestif › Maladies gastro-intestinales › Maladies de l'estomac › A Deep Learning Convolutional Neural Network...