BID-Net: An Automated System for Bone Invasion Detection Occurring at Stage T4 in Oral Squamous Carcinoma Using Deep Learning

Detection of the presence and absence of bone invasion by the tumor in oral squamous cell carcinoma (OSCC) patients is very significant for their treatment planning and surgical resection. For bone invasion detection, CT scan imaging is the preferred choice of radiologists because of its high sensit...

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Detalles Bibliográficos
Autores principales: Agarwal, Pinky, Yadav, Anju, Mathur, Pratistha, Pal, Vipin, Chakrabarty, Amitabha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8818426/
https://www.ncbi.nlm.nih.gov/pubmed/35140773
http://dx.doi.org/10.1155/2022/4357088

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8818426/
https://www.ncbi.nlm.nih.gov/pubmed/35140773
http://dx.doi.org/10.1155/2022/4357088

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