INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Dentists use the panoramic dental X-ray images as a crucial diagnostic tool to identify symptoms early on and create effective treatment strategies. Deep learning techniques have been used in recent years to segment teeth in dental Xrays, helping dentists make clinical choices. The region-ofinterest (ROI), which should be the maxillofacial region, must be extracted from the original images because they are filled with a lot of unnecessary information. However, due to the poor image quality, a quick and precise maxillofacial segmentation without hand-crafted features is difficult. Here we use the teeth images for training and testing purposes to ease the process. In order to address this issue, we generate a sizable maxillofacial dateset and suggest an effective encoder-decoder network model called EED-Net.
Keywords
"Teeth Disease Detection using Deep Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.e58-e62, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305407.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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