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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Paper Title
TEETH DISEASE DETECTION USING DEEP LEARNING
Authors
Suvarna Bahir, Shubham Salunke, Sanket Patil, Shejal Bendre, Pratiksha Yadav
Keywords
CNN; Medical Imaging; Image Processing; Machine Learning; Dental Informatics; X-Ray Images; Semantic Segmentation.
Abstract
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 X-rays, helping dentists make clinical choices. The region-of-interest (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. In order to address this issue, we generate a sizable maxillofacial dataset and suggest an effective encoder-decoder network model called EED-Net. This dataset includes 2602 panoramic image
IJCRT's Publication Details
Unique Identification Number - IJCRT2211365
Paper ID - 227036
Page Number(s) - d229-d231
Pubished in - Volume 10 | Issue 11 | November 2022
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Suvarna Bahir, Shubham Salunke, Sanket Patil, Shejal Bendre, Pratiksha Yadav, "TEETH DISEASE DETECTION USING DEEP LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 11, pp.d229-d231, November 2022, Available at :http://www.ijcrt.org/papers/IJCRT2211365.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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