Centro Universitario de los Altos
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http://repositorio.cualtos.udg.mx:8080/jspui/handle/123456789/1561| Title: | Artificial Intelligence for Image Analysis in Oral Squamous Cell Carcinoma: A Review |
| Authors: | Pereira Prado, Vanesa Martins Silveira, Felipe Sicco, Estafanía Hochmann, Jimena Isiordia Espinoza, Mario Alberto González González, Rogelio Pandiar, Deepak Bologna Molina, Ronell Eduardo |
| Keywords: | artificial intelligence deep learning digital image histopathological analysis machine learning oral squamous cell carcinoma |
| Issue Date: | Jul-2023 |
| Publisher: | MDPI |
| Citation: | : Pereira-Prado, V.; Martins-Silveira, F.; Sicco, E.; Hochmann, J.; Isiordia-Espinoza, M.A.; González, R.G.; Pandiar, D.; Bologna-Molina, R. Artificial Intelligence for Image Analysis in Oral Squamous Cell Carcinoma: A Review. Diagnostics 2023, 13, 2416. https://doi.org/10.3390/ diagnostics13142416 |
| Series/Report no.: | Diagnostics;2023, 13, 2416 |
| Abstract: | Head and neck tumor differential diagnosis and prognosis have always been a challenge for oral pathologists due to their similarities and complexity. Artificial intelligence novel applications can function as an auxiliary tool for the objective interpretation of histomorphological digital slides. In this review, we present digital histopathological image analysis applications in oral squamous cell carcinoma. A literature search was performed in PubMed MEDLINE with the following keywords: “artificial intelligence” OR “deep learning” OR “machine learning” AND “oral squamous cell carcinoma”. Artificial intelligence has proven to be a helpful tool in histopathological image analysis of tumors and other lesions, even though it is necessary to continue researching in this area, mainly for clinical validation. |
| Description: | Artículo |
| URI: | http://repositorio.cualtos.udg.mx:8080/jspui/handle/123456789/1561 |
| ISBN: | https://doi.org/10.3390/ diagnostics13142416 |
| ISSN: | 2075-4418 |
| Appears in Collections: | 3209 Artículos |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Artificial Intelligence for Image Analysis in Oral Squamous.pdf | Documento | 2.29 MB | Adobe PDF | View/Open |
| Enlace a_Artificial Intelligence for Image Analysis in Oral Squamous Cell Carcinoma.htm | Enlace a publicación | 44.27 kB | HTML | View/Open |
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