Effective End-to-End Deep Learning Process in Medical Imaging Using Independent Task Learning: Application for Diagnosis of Maxillary Sinusitis

PURPOSE: This study aimed to propose an effective end-to-end process in medical imaging using an independent task learning (ITL) algorithm and to evaluate its performance in maxillary sinusitis applications. MATERIALS AND METHODS: For the internal dataset, 2122 Waters’ view X-ray images, which inclu...

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Detalles Bibliográficos
Autores principales: Oh, Jang-Hoon, Kim, Hyug-Gi, Lee, Kyung Mi, Ryu, Chang-Woo, Park, Soonchan, Jang, Ji Hye, Choi, Hyun Seok, Kim, Eui Jong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Yonsei University College of Medicine 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8612852/
https://www.ncbi.nlm.nih.gov/pubmed/34816643
http://dx.doi.org/10.3349/ymj.2021.62.12.1125

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8612852/
https://www.ncbi.nlm.nih.gov/pubmed/34816643
http://dx.doi.org/10.3349/ymj.2021.62.12.1125

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