Development of a Novel Evaluation Method for Endoscopic Ultrasound-Guided Fine-Needle Biopsy in Pancreatic Diseases Using Artificial Intelligence

We aimed to develop a new artificial intelligence (AI)-based method for evaluating endoscopic ultrasound-guided fine-needle biopsy (EUS-FNB) specimens in pancreatic diseases using deep learning and contrastive learning. We analysed a total of 173 specimens from 96 patients who underwent EUS-FNB with...

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Detalles Bibliográficos
Autores principales: Ishikawa, Takuya, Hayakawa, Masato, Suzuki, Hirotaka, Ohno, Eizaburo, Mizutani, Yasuyuki, Iida, Tadashi, Fujishiro, Mitsuhiro, Kawashima, Hiroki, Hotta, Kazuhiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871496/
https://www.ncbi.nlm.nih.gov/pubmed/35204524
http://dx.doi.org/10.3390/diagnostics12020434

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871496/
https://www.ncbi.nlm.nih.gov/pubmed/35204524
http://dx.doi.org/10.3390/diagnostics12020434

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