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

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...

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Veröffentlicht in:	Archives of pathology & laboratory medicine (1976) 2020-03, Vol.144 (3), p.370-378
Hauptverfasser:	Martin, David R, Hanson, Joshua A, Gullapalli, Rama R, Schultz, Fred A, Sethi, Aisha, Clark, Douglas P
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis Anti-inflammatory agents Artificial neural networks Bile Breast Cable television broadcasting industry Chronic infection Data processing Deep learning Drug abuse Edema Epidermal growth factor Epithelium ErbB-2 protein Estrogen receptors Ethanol Gastritis Germinal centers Helicobacter pylori Hyperplasia Inflammation International economic relations Lamina propria Leukocytes (neutrophilic) Lymph nodes Lymphatic system Medical research Metastases Metastasis Mitosis Mucin Mucosa Neoplasia Neural networks Nonsteroidal anti-inflammatory drugs Organisms Pathology Progesterone Regeneration Smooth muscle Software Training Ulcers
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