Abstract
Digital images of the human body have drawn more attention in medical image analysis research. Many image processing techniques are being researched to identify cures for human diseases. Human organs are intricate and challenging to diagnose. Teeth are an important part of the human body. Dental diseases such as dental abnormalities, periapical, and dental caries are on the rise in both children and adults. Artificial intelligence has an effect on the healthcare industry in medical imaging. X-ray imaging is the most widely used method for detecting dental problems. The proposed study impalements a Densenet based transfer learning model to detect the diseases present in dental X-ray images.
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