Classification of Cancer Cells and Dental Caries Detection using Deep Learning Algorithms
Journal Title: International Journal for Modern Trends in Science and Technology - Year 2024, Vol 10, Issue 11
Abstract
Detecting cancer cells, particularly within dental cavities, is not typical, as dental cavities are mainly connected with tooth decay caused by bacterial activity. However, cancers of the oral cavity, such as oral squamous cell carcinoma, can sometimes be found in the mouth, including on the gums, tongue, and other tissues. Dentists often thoroughly examine the oral cavity to look for abnormal areas. A biopsy may be performed to determine if cancer cells are present if a suspicious lesion is found. This process, while effective, can be time-consuming. In this paper, an Automated Deep Model (ADM) is developed to detect and classify cancer cells and teeth caries based on the regions affected, potentially speeding up the detection and diagnosis process. The proposed approach works for both cancer and dental caries detection, involving steps like training, preprocessing, and segmentation to improve model performance. Deep learning algorithms have been increasingly applied to classify cancer cells and detect dental caries in the mouth. The proposed approach combines pre-trained RESNET50 with transfer learning and classification model Support Vector Machines (SVMs) with Deep Features. The segmentation model Fully Convolutional Networks (FCNs) is used for pixel-wise segmentation of dental images to identify dental caries and abnormal cancer cells. The performance of the proposed approach shows a massive detection and classification rate compared with existing models.
Authors and Affiliations
Sunkara. Naga Sindhu and Dr Raavi. Satya Prasad
Keywords
Related Articles
- EP ID EP752209
- DOI https://doi.org/10.46501/IJMTST1011002
- Views 28
- Downloads 0
Formulation and quality characterization of soy milk based dietary ice cream with the incorporation of probiotics and utilization, of fruit waste as a functional ingredient
Ice cream production is a complex process involving various stages such as pasteurization, homogenization, aging, freezing, and packaging. The quality and characteristics of ice cream depend on several factors including...
Prediction of Ground Water Level using Machine Learning
Groundwater is a vital natural resource for various sectors including agriculture, industry, and domestic use. Timely and accurate prediction of groundwater levels plays a crucial role in effective water resource managem...
Improving AGC Performance in Two-Area Power Systems by Harnessing ANFIS Controller and Renewable Energy Source Integration
In modern power systems, maintaining stability and optimal performance amidst increasing demand and renewable energy integration presents significant challenges. This study explores the enhancement of Automatic Generatio...
Attendance Alerts – Timely Notifications for Late Arrivals
The Attendance Alert system is an advanced attendance management solution designed to streamline and enhance the efficiency and educational institutions. Leveraging facial recognition technology, this system automates th...
The Role of Forces in Engineering Applications: Friction, Gravity, and Tension-A Review
The role of forces in engineering applications: friction, gravity, and tension. Friction, gravity, and tension are forces commonly used in engineering. It is important to be able to identify each type of force acting on...