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Artificial intelligence that determines the clinical significance of capsule endoscopy images can increase the efficiency of reading
Artificial intelligence (AI), which has demonstrated outstanding achievements in image recognition, can be useful for the tedious capsule endoscopy (CE) reading. We aimed to develop a practical AI-based method that can identify various types of lesions and tried to evaluate the effectiveness of the...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595411/ https://www.ncbi.nlm.nih.gov/pubmed/33119718 http://dx.doi.org/10.1371/journal.pone.0241474 |