International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | AI Powered Oral Cancer Detection System |
|---|---|
| ABSTRACT | Due to a lack of timely and reliable screening techniques, oral cancer is a dangerous health issue that frequently goes undetected in its early stages. Diagnosis frequently relies on specialists' manual examination, which can be costly, time-consuming, and difficult for everyone to access. This project offers an AI-powered oral cancer detection system that supports accurate and timely detection of oral cancer in order to address this problem. The suggested system analyzes pictures of the oral cavity utilising deep learning, a type of artificial intelligence methods. By offering faster preliminary results, lowering reliance on manual screening, and reducing human error, this AI-based solution seeks to support medical professionals. |
| AUTHOR | AKSHATHA H V, GAGANA H, DISHA N, B N SANJANA, CHAITHRA B M UG Students, Dept. of CSE, Jain Institute of Technology, Davangere, Karnataka, India Assistant Professor, Dept. of CSE, Jain Institute of Technology Davangere, Karnataka, India |
| VOLUME | 177 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1312114 |
| pdf/114_AI Powered Oral Cancer Detection System.pdf | |
| KEYWORDS | |
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